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Mod-01 Lec-12 Frequency Domain Response Analysis
 
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Structural Dynamics by Dr. P. Banerji, Department of Civil Engineering,IIT Bombay.For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 9605 nptelhrd
Control Systems Lectures - Time and Frequency Domain
 
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I'm writing a book on the fundamentals of control theory! Get the book-in-progress with any contribution for my work on Patreon - https://www.patreon.com/briandouglas This lecture introduces the time and frequency domains. A very quick description of the Laplace Transform is given which will be the base of many of classical control lectures in the future. I will be loading a new video each week and welcome suggestions for new topics. Please leave a comment or question below and I will do my best to address it. Thanks for watching! Don't forget to subscribe! Follow me on Twitter @BrianBDouglas!
Views: 329506 Brian Douglas
FEA Master Class: Dynamic Analysis and Numerics
 
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Learn more: https://www.simscale-academy.com/p/simscale-fea-master-class (02:25) What is Dynamic Analysis? (08:20) Solving the Equation of Motion (13:38) Dynamic Responses (18:36) Time Domain vs. Frequency Domain (20:20) Dynamic Analysis Types on SimScale (22:38) The Goal of Dynamic Analysis (25:09) Disadvantages of Dynamic Analysis (25:25) Numerics (35:45) Live Demo (42:46) Homework Assignment and Q&A What makes the difference between a pretty visualization and a meaningful simulation result? Find out in the FEA Master Class and learn how to fundamentally increase the accuracy of your structural mechanics analysis. Participants will receive a hands-on, interactive introduction to the different aspects of structural simulation (FEA) and will learn from top simulation experts how to leverage the free, cloud-based SimScale platform to receive accurate simulation results. Every session comes with an optional homework assignment that will help you put the gained knowledge into practice. Submitting all three homework assignments will qualify you for a Certificate of Completion. Submit the homework here: https://www.simscale-academy.com/p/simscale-fea-master-class All participants will get free access to SimScale with all the required simulation features. Please note that we recommend gaining some first experience with FEA and SimScale before joining this course. During this session of the FEA Master Class, you will learn about numerics and dynamic analysis. We will show you how to predict the accuracy of your simulation and how to improve numerical settings to get your result faster. Session 1: Advanced Meshing Strategies: https://www.youtube.com/watch?v=x-ApzhQRb2A Session 2: Nonlinear Material: https://www.youtube.com/watch?v=9gZftcYU50Y Session 3: Dynamic Analysis and Numerics: https://youtu.be/Vc53HznFPIY SimScale is a 100% cloud-based simulation platform. Try CFD, FEA or Thermal Analysis by creating a free account: https://www.simscale.com/
Views: 1297 SimScale GmbH
What is frequency response analysis - FEA for All
 
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Frequency response analysis is an extension of modal analysis in some way. If you want to know about modal analysis, the full article is here: http://feaforall.com/what-modal-analysis-fea-basics/ In short, modal analysis helps to determine the modes of vibrations and the frequencies at which those modes are triggered, BUT modal analysis doesn’t give you any info about the real deformation that an excitation of one of those modes will actually cause. When you have to do a dynamic analysis, modal analysis is only the beginning! Some modes will cause more « resonance » than others (and thus more damage)… so we want to know which ones and we want also to calculate the maximum deformation for each of the modes « triggered ». Go on the blog to read the full explanation: http://feaforall.com/frequency-response-analysis-fea/
Views: 23115 Cyprien Rusu
NFX webinar: Dynamic Analysis Theory and Examples
 
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Normal modes analysis example ( Demo) 13:23 Transient response - free undamped vibration (Demo) 23:24 Transient response - enforced damped vibration (Demo) 31:33 Frequency response - (Demo) 41:07 To check the next webinar events: http://www.midasnfx.com/Exprerience/ScheduleDemo.asp
Views: 1625 Cyprien Rusu
Time Frequency Analysis & Wavelets
 
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COURSE WEBPAGE: Inferring Structure of Complex Systems https://faculty.washington.edu/kutz/am563/am563.html This lecture introduces the wavelet decomposition of a signal. The time-frequency decomposition is a generalization of the Gabor transform and allows for a intuitive decomposition of time series data at different frequencies.
Views: 4839 Nathan Kutz
Mod-04 Lec-15 Frequency Domain Spectral Analysis
 
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Seismic Analysis of Structures by Dr. Ashok Gupta & Dr. T.K. Datta,Department of Civil Engineering,IIT Delhi.For more details on NPTEL visit http://nptel.ac.in
Views: 3428 nptelhrd
Mod-01 Lec-06 Systematic Tuning Using Frequency Domain Analysis
 
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Plantwide Control of Chemical Processes by Dr. Nitin Kaistha, Department of Chemical Engineering,IIT Kanpur.For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 1696 nptelhrd
Frequency domain – tutorial 9: frequency response
 
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Thanks for watching this video. Let's be friends ;) Facebook @ https://www.facebook.com/iman.moazzen LinkedIn @ https://www.linkedin.com/in/iman-moazzen-42b22119/
Views: 1957 iman
Dynamic Signal Analysis - IfTA Trend
 
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Quick overview of how to set up measurement data visualization with IfTA Trend. During measurement visualization, can be modified on live data for flexible analysis. Axes automatically synchronize so if connected, so aligning plots by hand is a thing of the past. Cursors stay in sync in both time and frequency domain. The Data are artificial combustion dynamics signals form a gas turbine simulation.
Views: 70 IfTA GmbH
Mod-04 Lec-17 Frequency Domain Spectral Analysis Contd...
 
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Seismic Analysis of Structures by Dr. Ashok Gupta & Dr. T.K. Datta,Department of Civil Engineering,IIT Delhi.For more details on NPTEL visit http://nptel.ac.in
Views: 1042 nptelhrd
Intro to Control - 14.1 Frequency Response
 
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Explaining the basics of the frequency response and how to calculate the frequency response based on the transfer function.
Views: 66259 katkimshow
Abaqus Standard: Steady state dynamic
 
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This video will explain the fundamental of steady state dynamics. Also it will demonstrated the step by step how to do steady state dynamics analysis in Abaqus standard.
Views: 9859 Abaqus Acumen
Time Domain vs. Frequency Domain, What’s the Difference? – What the RF (S01E02)
 
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Learn the difference between the time and frequency domains Click to subscribe: http://bit.ly/Labs_Sub Learn more in the Spectrum Analysis Basics application note ↓ ► http://bit.ly/SpecAnBasics ◄ Like our Facebook page for more exciting stuff: https://www.facebook.com/keysightrf Check out our blog: http://bit.ly/RFTestBlog Learn more about using oscilloscopes: http://oscilloscopelearningcenter.com Check out the EEs Talk Tech electrical engineering podcast: https://eestalktech.com Like our digital counterpart’s Facebook page: https://www.facebook.com/keysightbench/ In this episode of What the RF (WTRF) Nick goes into detail on the difference between the time domain and frequency domain and demonstrates both on an oscilloscope and signal analyzer respectively. What exactly is the difference between the time domain and frequency domain? And what about the frequency domain tells us more about our signal? In this video we have the same signal going to an oscilloscope and a signal analyzer, both being tools to visualize electrical signals in the time and frequency domain respectively. Typically the higher the frequency, the more waves we see in the same span on our oscilloscope. In the time-domain, signals appear as sinusoidal waves and in the frequency-domain they appear as distinct impulses. But why do we care to use a signal analyzer? In a perfect world we would see the undistorted sinusoidal waveform like we would see on an oscilloscope, but we don’t live in a perfect world. When dealing with various devices it’s often you see a not so perfect, distorted sine wave with many ripples. You can say that a real-world signal can be represented as a sum of different sinusoid signals, or rather different frequencies. Now let’s say you’re designing a product and your product can only operate in a specified bandwidth and can’t be emitting in other bandwidths. Then you must determine at what other frequencies do the other signals exist that are corrupting the signal you want from your device And that’s where signal analyzers come in – they help separate and display this combination of different sinusoid signals into their distinct frequency components … so that if you were expecting your device to operate at a certain frequency you can see all the other frequencies that are messing with your device. And once that’s figured out you can use a band-pass filter to tune out those annoying extra signals you weren’t expecting – hence the benefit of seeing signals in the frequency domain! Tune in for future What The RF (WTRF) episodes covering more spectrum analyzer capabilities and fundamental measurements to see how you can test more efficiently! The signal analyzer we used: http://bit.ly/MXASignalAnalyzer (The Keysight X-Series MXA Signal Analyzer) The X-Series signal analyzers allow you to visualize across the spectrum to see known and unknown signals. Choose from frequencies of 3 Hz – 110 GHz and 1 MHz – 1 GHz analysis bandwidth. What the RF is hosted by Nick Ben. The video series covers when and how to use analyzers to make various RF measurements. You’ll gain familiarity with features that will help you save time in your measurement, further your analysis, and deepen your insight. #RF #SpectrumAnalyzer #SignalAnalyzer #TimeDomain #FrequencyDomain #timevsfrequencydomain #electricalengineering #rfengineering #fourier #electronics
Views: 12439 Keysight Labs
Introduction to Frequency Response/Bode Plots for Dynamic Systems
 
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Introduction to frequency respnose analysis for fixed sine inputs to stable transfer functions
Views: 425 Ryan Krauss
Frequency Domain Analysis of Control Systems in MATLAB | MATLAB Tutorial
 
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Demonstration of frequency domain analysis of a system defined by a given transfer function using several frequency response methods in MATLAB. If you have any queries post it in comments down below. If you want us to make more of such videos please leave your suggestions for topics you find difficult to understand or implement in the comments section and we will try to make it happen. Don't forget to hit the thumbs up button. If you enjoyed this video then subscribe to MATLAB Helper if you haven't already. Enroll today in one of our course at https://mlhp.link/courses Leave a review for us on Facebook: https://mlhp.link/FacebookReviews Like us on Facebook: https://mlhp.link/facebook Join our FB Community: https://mlhp.link/FBgroup Tweet to us: https://mlhp.link/twitter Join us on Linkedin: https://mlhp.link/linkedin Join us on Google+: https://mlhp.link/googleplus Follow us on Instagram: https://mlhp.link/instagram Share your feedback with us at [email protected]
Views: 556 MATLAB Helper ®
Femap Analysis: Dynamic Frequency Response
 
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Femap Dynamic Frequency Respones Analysis - a short video showing how Femap with NX Nastran can perfom a frequency response of a design. http://www.plm.automation.siemens.com/en_us/products/velocity/femap/index.shtml
Views: 17174 Siemens PLM
Introduction to Linear Dynamics
 
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A static Finite Element Analysis is sufficient if you are only interested in the long-term response of a structure to applied loads. However, if the duration of the applied load is short - such as in an earthquake - or if the loading is dynamic in nature - such as that from rotating machinery - you need to perform a dynamic analysis. In this webinar we will present the linear dynamic analysis process in Abaqus/Standard. You will learn: - What options are available for linear dynamic analysis in Abaqus - How to build an effective finite element model for linear dynamic analysis utilising the built-in feature set available in Abaqus Standard and Abaqus CAE - The limits of the available methods and how to choose which is applicable to your application. What data is required to produce a useful analysis. - Analysis solutions discussed will include, natural frequency extraction (modal analysis,) and steady state dynamics (frequency response.) This webinar is intended for finite element analysis beginners wanting to learn how to effectively use the capability of Abaqus for linear dynamic analysis; and for engineering managers who wish to understand how dynamic analysis in Abaqus may improve the understanding of their products and improve their design processes.
Views: 2510 Intrinsys
Dynamic analysis of structures with DIANA
 
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This session gives a clear overview of different methods that DIANA offers to perform the dynamic analysis of civil engineering structures. In the first part the dynamic specific modelling aspects such as mass, damping, acceleration loading and waves, are explained. The second part will cover the details of Fluid-Structure Interaction (FSI), e.g. added mass and damping. The final part will demonstrate the available analysis types for dynamic analysis in DIANA; Free vibration eigenvalue analysis, response spectrum analysis (RSA), modal and direct frequency response analysis, transient dynamic (time history) analysis, and Hybrid Frequency-Time Domain (HFTD) analysis with associated and their specific dynamic output results.
Views: 331 DIANA FEA BV
Frequency Measurement LabVIEW
 
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Frequency Measurement LabVIEW
Views: 29208 David Wisbey
What is MODAL ANALYSIS? What does MODAL ANALYSIS mean? MODAL ANALYSIS meaning & explanation
 
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What is MODAL ANALYSIS? What does MODAL ANALYSIS mean? MODAL ANALYSIS meaning - MODAL ANALYSIS definition - MODAL ANALYSIS explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ Modal analysis is the study of the dynamic properties of systems in the frequency domain. A typical example would be testing structures under vibrational excitation. Modal analysis is the field of measuring or calculating and analyzing the dynamic response of structures and/or fluids or other systems during excitation. Examples would include measuring the vibration of a car's body when it is attached to an electromagnetic shaker, analysis of unforced vibration response of vehicle suspension, or the noise pattern in a room when excited by a loudspeaker. Modern day experimental modal analysis systems are composed of 1)sensors such as transducers (typically accelerometers, load cells), or non contact via a Laser vibrometer, or stereophotogrammetric cameras 2) data acquisition system and an analog-to-digital converter front end (to digitize analog instrumentation signals) and 3) host PC (personal computer) to view the data and analyze it. Classically this was done with a SIMO (single-input, multiple-output) approach, that is, one excitation point, and then the response is measured at many other points. In the past a hammer survey, using a fixed accelerometer and a roving hammer as excitation, gave a MISO (multiple-input, single-output) analysis, which is mathematically identical to SIMO, due to the principle of reciprocity. In recent years MIMO (multi-input, multiple-output) have become more practical, where partial coherence analysis identifies which part of the response comes from which excitation source. Using multiple shakers leads to a uniform distribution of the energy over the entire structure and a better coherence in the measurement. A single shaker may not effectively excite all the modes of a structure. Typical excitation signals can be classed as impulse, broadband, swept sine, chirp, and possibly others. Each has its own advantages and disadvantages. The analysis of the signals typically relies on Fourier analysis. The resulting transfer function will show one or more resonances, whose characteristic mass, frequency and damping can be estimated from the measurements. The animated display of the mode shape is very useful to NVH (noise, vibration, and harshness) engineers. The results can also be used to correlate with finite element analysis normal mode solutions.
Views: 5770 The Audiopedia
Dynamic analysis of a viaduct crossed by a High speed train
 
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Implicit Dynamic analysis of the time domain and frequency domain response (with filtering) of a two span viaduct crossed by a High speed train (Eurocode 1 HSLM-A8 ) using VIFEM Project (www.vifem.co.uk)
Views: 17 Ricardo Teixeira
Real-time Signal Processing and Analysis on Measurement Data
 
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See more videos- http://bit.ly/aMdhSC Add a low-pass filter and frequency domain analysis to measurement data, while it's continuously being streamed from a USB data acquisition device.
Views: 113614 niglobal
Abaqus Standard: Steady state dynamics example2
 
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This video will explain the fundamental of lower natural frequencies and mode shapes.Also it will demonstrated the step by step how to do steady state dynamics analysis in Abaqus standard.
Views: 5939 Abaqus Acumen
Frequency Response and Random Response (Dynamic Response in Nastran)
 
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View more FEA and Nastran webinars: https://structures.aero/webinar/ Get a 45 Day Free Trial of Femap with NX Nastran with Dynamic Response: http://partnertrack.plm.automation.siemens.com/z/196/4099115/ Subscribe to our channel: https://www.youtube.com/channel/UCT_qHckHnPO85O0cEpGxveQ?sub_confirmation=1 Structural Design and Analysis (Structures.Aero) is a structural analysis company that specializes in aircraft and spacecraft structures using composites. We utilize Femap, NX Nastran, Fibersim, Simcenter 3D, and HyperSizer in our analysis work and provide these programs, training, and support as a Value-Added Reseller for Siemens PLM and HyperSizer. CONNECT WITH US Join the Femap/NX Nastran User Group: https://www.facebook.com/groups/23262... Facebook: https://www.facebook.com/StructuralDe... Twitter: https://twitter.com/StructuresAero LinkedIn: https://www.linkedin.com/company/stru... Website: https://structures.aero
Abaqus Frequency Domain Tutorial 1
 
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Frequency domain simple introduction on Abaqus. This allows you to extract natural vibration frequencies of a solid body. More on http://www.ramifications.de/ It does not take into effect damping and does not include complex modes, that will be in the next video.
Views: 1392 Rami Rouhana
time domain analysis of first order systems | Control systems |
 
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in this video lecture time domain analysis in control systems concept explained - impulse and step response of first order systems concept explained Please Like, share and subscribe: https://www.youtube.com/channel/UCKS34cSMNaXaySe2xgXH-3A for more related videos
Views: 2439 Education 4u
Mod-02 Lec-08 Iterative frequency domain II
 
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Dynamics of Ocean Structures by Dr. Srinivasan Chandrasekaran, Department of Ocean Engineering, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 296 nptelhrd
Mod-01 Lec-08 Time Domain Signal Analysis
 
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Machinery fault diagnosis and signal processing by Prof. A.R. Mohanty,Department of Mechanical Engineering,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
Views: 5968 nptelhrd
Abaqus - Modal Analysis, Modal Dynamics Analysis & Steady State Dynamics Analysis
 
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Cantilever Beam represented by a wire with a box section. 1: Viewing the mode shapes 2: Investigate the effects of applying an impulse to the end of the beam 3: Investigate the frequency response to a load at the end of the beam
Views: 79670 landoflemon
Mod-02 Lec-07 Iterative frequency domain I
 
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Dynamics of Ocean Structures by Dr. Srinivasan Chandrasekaran, Department of Ocean Engineering, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 421 nptelhrd
Intro to Control - 9.1 System Time Response Terms
 
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Defining terms used to describe systems time responses to a step function input, specifically, time constant, rise time, and settling time.
Views: 87055 katkimshow
24. Modal Analysis: Orthogonality, Mass Stiffness, Damping Matrix
 
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MIT 2.003SC Engineering Dynamics, Fall 2011 View the complete course: http://ocw.mit.edu/2-003SCF11 Instructor: J. Kim Vandiver License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 109248 MIT OpenCourseWare
MSC Nastran Embedded Vibration Fatigue for Faster Durability Studies
 
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Dynamic loading is a common contributor to fatigue failure of structures, yet the life calculations traditionally relied on stress and strain history from quasi-static time domain simulations, which can be time consuming and resource intensive while accounting for random loading on the structures. You are invited to attend this webinar to learn about the new technical advances in the area of frequency domain random response and fatigue life estimations. This webinar will demonstrate new technology from CAEfatigue VIBRATION (CFV) that is now available in MSC Nastran as NEVF (MSC Nastran Embedded Vibration Fatigue) represents a breakthrough in dynamic analysis, making the frequency domain practical for both random and fatigue analysis. This new technology will be demonstrated with two examples to help you understand the methodology.
Views: 641 MSC Software
Using FEMAP/NX NASTRAN for Frequency Spectrum and Random Vibration Analysis
 
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Most structural analyses are performed using a static solution or solving a system of equation for energy equilibrium. In short, the sum of the internal and external potential energy is equal to zero. This works well if the forces on the structure are constant or varying slowly as not to excite the dynamics of the structure. If loads do vary at a high rate with respect to time and cause dynamic excitation, one must analyze that the structure in time domain or by transient analysis.
Views: 1689 Saratech
DIY Drone Design Workshop: Drone Drop Analysis
 
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Learn more: https://www.simscale.com/drone-design-workshop/ The growing community of private DIY Drone designers and manufacturers has inspired us to create a workshop series focusing on the simulation of a drone design. The series is directed to makers and drone enthusiasts, who want to learn how to modify and optimize their own drone design. This session is dedicated to the simulation of a drop crash. Simulating the impact of the drone for several velocities will help you understand the critical falling velocity of your design. (0:56) Agenda (1:43) Fundamentals (1:44) Dynamic Analysis (8:29) Dynamic Analysis - Static vs. Dynamics (12:17) Solving the Equation (13:01) Dynamic Responses (14:58) Damping (17:10) Time Domain vs. Frequency Domain (18:34) Live Demo (30:09) Homework and Q&A Session 1: Aerodynamics & Propeller Design: https://youtu.be/ejfCnQs6HD4 Session 2: Structural Design: https://youtu.be/IJXbX5QRiQo Session 3: Drop Analysis: https://youtu.be/fO5Kme_XgGc Participants will receive a hands-on, interactive introduction to the application of engineering simulation in DIY Drone Design, and will learn from top experts how to leverage the free, cloud-based SimScale platform for their own projects and designs. There is no prior knowledge or software required to join this webinar series. All participants will get free access to SimScale with all the required simulation features. SimScale is a 100% cloud-based simulation platform. Try CFD, FEA or Thermal Analysis by creating a free account: https://goo.gl/d5PUIj
Views: 809 SimScale GmbH
Modal Frequency Analysis
 
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This video outlines our capabilities within Modal Frequency Analysis. For more information please visit: http://frewer-engineering.com/ Also: Connect with us on LinkedIn, Twitter & Facebook: https://www.linkedin.com/company/frewer-engineering https://twitter.com/FrewerEngineers https://www.facebook.com/FrewerEngineering/
Views: 432 Frewer Engineering
Time Frequency & Multi Resolution Analysis
 
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COURSE WEBPAGE: Inferring Structure of Complex Systems https://faculty.washington.edu/kutz/am563/am563.html This lecture gives a formal introduction into multi-resolution analysis (MRA) which can be accomplished with a wavelet basis. The method is able to decompose signals into different time-space scale features in a principled way.
Views: 937 Nathan Kutz
Understanding Wavelets, Part 1: What Are Wavelets
 
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This introductory video covers what wavelets are and how you can use them to explore your data in MATLAB®. •Try Wavelet Toolbox: https://goo.gl/m0ms9d •Ready to Buy: https://goo.gl/sMfoDr The video focuses on two important wavelet transform concepts: scaling and shifting. The concepts can be applied to 2D data such as images. Video Transcript: Hello, everyone. In this introductory session, I will cover some basic wavelet concepts. I will be primarily using a 1-D example, but the same concepts can be applied to images, as well. First, let's review what a wavelet is. Real world data or signals frequently exhibit slowly changing trends or oscillations punctuated with transients. On the other hand, images have smooth regions interrupted by edges or abrupt changes in contrast. These abrupt changes are often the most interesting parts of the data, both perceptually and in terms of the information they provide. The Fourier transform is a powerful tool for data analysis. However, it does not represent abrupt changes efficiently. The reason for this is that the Fourier transform represents data as sum of sine waves, which are not localized in time or space. These sine waves oscillate forever. Therefore, to accurately analyze signals and images that have abrupt changes, we need to use a new class of functions that are well localized in time and frequency: This brings us to the topic of Wavelets. A wavelet is a rapidly decaying, wave-like oscillation that has zero mean. Unlike sinusoids, which extend to infinity, a wavelet exists for a finite duration. Wavelets come in different sizes and shapes. Here are some of the well-known ones. The availability of a wide range of wavelets is a key strength of wavelet analysis. To choose the right wavelet, you'll need to consider the application you'll use it for. We will discuss this in more detail in a subsequent session. For now, let's focus on two important wavelet transform concepts: scaling and shifting. Let' start with scaling. Say you have a signal PSI(t). Scaling refers to the process of stretching or shrinking the signal in time, which can be expressed using this equation [on screen]. S is the scaling factor, which is a positive value and corresponds to how much a signal is scaled in time. The scale factor is inversely proportional to frequency. For example, scaling a sine wave by 2 results in reducing its original frequency by half or by an octave. For a wavelet, there is a reciprocal relationship between scale and frequency with a constant of proportionality. This constant of proportionality is called the "center frequency" of the wavelet. This is because, unlike the sinewave, the wavelet has a band pass characteristic in the frequency domain. Mathematically, the equivalent frequency is defined using this equation [on screen], where Cf is center frequency of the wavelet, s is the wavelet scale, and delta t is the sampling interval. Therefore when you scale a wavelet by a factor of 2, it results in reducing the equivalent frequency by an octave. For instance, here is how a sym4 wavelet with center frequency 0.71 Hz corresponds to a sine wave of same frequency. A larger scale factor results in a stretched wavelet, which corresponds to a lower frequency. A smaller scale factor results in a shrunken wavelet, which corresponds to a high frequency. A stretched wavelet helps in capturing the slowly varying changes in a signal while a compressed wavelet helps in capturing abrupt changes. You can construct different scales that inversely correspond the equivalent frequencies, as mentioned earlier. Next, we'll discuss shifting. Shifting a wavelet simply means delaying or advancing the onset of the wavelet along the length of the signal. A shifted wavelet represented using this notation [on screen] means that the wavelet is shifted and centered at k. We need to shift the wavelet to align with the feature we are looking for in a signal.The two major transforms in wavelet analysis are Continuous and Discrete Wavelet Transforms. These transforms differ based on how the wavelets are scaled and shifted. More on this in the next session. But for now, you've got the basic concepts behind wavelets.
Views: 143719 MATLAB
Module 2, Pulsations and Other Forces in a Reciprocating Compressor
 
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Visit us at http://www.BetaMachinery.com Learn about pulsations (or pressure waves) and other forces, including resonance, unbalanced forces and other factors impacting reciprocating compressors; along with ways to mitigate these forces, where they can occur, frequency vs. time domain analysis, what operating conditions need to be tested, and more. This training video runs about 14 minutes and is the third in a series from Beta Machinery Analysis. For more information about compression equipment see http://www.BetaMachinery.com.
Mod-02 Lec-03 Fluid - Structure interaction II Dynamic analysis of offshore jacket platforms
 
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Dynamics of Ocean Structures by Dr. Srinivasan Chandrasekaran, Department of Ocean Engineering, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 2075 nptelhrd
Non-Mathematical Overview of Experimental Modal Analysis
 
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This is lesson no. 2 of 15 from the online course Basic Modal Analysis taught by Dr. Peter Avitabile. It is an excellent introduction without getting bogged down by complex mathematics. More sound & vibration courses at http://www.learnsv.com.
Views: 10429 LearnSV.com
AbaqusCAE: Tutorial - Quasi-static Analysis, Steel beam intrusion
 
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Method of quasi-static analysis has been explained in this video tutorial. It discuss about the load application in time domain in Abaqus explicit dynamic solving method. Frequency value used to calculate the end time and set up quasi-static FE model
Views: 4030 Abaqus Acumen
Operating Modal Analysis
 
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Simulated Round Trip of Operating Modal Analysis (OMA) using Vibrant Technology, Inc.'s (www.vibetech.com) ME'scopeVES.
Dynamic Fresnel Wave Field Movie
 
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Illustration of a dynamic 2D Fresnel wave field produced with a Matlab script. Polychromatic Fresnel wave fields provide a building block for SAR analysis performed in frequency-space domain.
Views: 134 Chris Barnes
Lec 02|Principles of Communication Systems-I I Frequency Domain Representation | IIT KANPUR
 
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Lecture 02: In this lecture Prof Aditya K. Jagannatham of IIT Kanpur explains the following concepts in Principles of Communication Systems-I 1. Frequency domain representation of signals 2. Concept of discrete Fourier series representation of signals.
Abaqus - Natural Frequency analysis of steel beam using Abaqus CAE
 
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Natural Frequency analysis of steel beam using Abaqus CAE
Views: 11996 An Nguyen
AGILENT HP 3561 A DYNAMIK SIGNALANALYSATOR DYNAMIC SIGNAL ANALYZER 3561A BUND
 
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Zum Verkauf wird angeboten: Agilent/HP 3561A 100 kHz Dynamic Signal Analyzer Bandbreite 25 µHz bis 100 kHz Kostenloser Versand innerhalb Deutschland √ Funktionstest durchgeführt √ Zustand und Zubehör siehe original Fotos und Videos. Herkunft ist die Deutsche Bundeswehr. The Agilent/HP 3561A is a low frequency, high performance dual channel dynamic signal analyzer. Displays include a three-dimensional spectral map and time waveforms. The 3561A incorporates a 40K sample time buffer for later measurements and allows for acoustic measurements with its FFT-synthesized 1/3 and 1/2 octave measurements, together with the built-in analog A-weighted filter.The analyzer also has a built-in tracking generator for stimulus-response measurements . With built-in waveform math, magnitude and phase measurements are possible. Digital processing is used to provide ultra-narrow resolution bandwidths down to 640 µHz. Digital processing also speeds up measurements; a measurement with 1 Hz resolution requires only a 1.5 second sweep.In addition to spectrum measurements, the 3561A displays time waveforms similar to oscilloscope displays. A 40 K sample time buffer captures transients for examination in the time domain or analysis in the frequency domain. The 3561A is also an excellent analyzer for acoustic testing. Features 25 µHz to 100 kHz Measurement Frequency Range 80 dB dynamic range Single channel Built-in pseudo-random, random and impulse source Performs spectrum analysis, FFT-synthesized 1/3 and 1/1 octave analysis GPIB Interface is built in High accuracy of ±0.15 dB, 80 dB dynamic range and full alias protection Band selectable zoom analysis for 640 µHz resolution Incorporates internal nonvolatile memory, which will store 2 traces and 6 states Mein Shop-Logo Sehen Sie sich auch unsere anderen Artikel an Weitere Infos via [email protected] oder 0171-7407307.
Views: 773 Manig Döring
What is VIBRATION FATIGUE? What does VIBRATION FATIGUE mean? VIBRATION FATIGUE meaning & explanation
 
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What is VIBRATION FATIGUE? What does VIBRATION FATIGUE mean? VIBRATION FATIGUE meaning - VIBRATION FATIGUE definition - VIBRATION FATIGUE explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ Vibration fatigue is a mechanical engineering term describing material fatigue, caused by forced vibration of random nature. An excited structure responds according to its natural-dynamics modes, which results in a dynamic stress load in the material points. The process of material fatigue is thus governed largely by the shape of the excitation profile and the response it produces. As the profiles of excitation and response are preferably analyzed in the frequency domain it is practical to use fatigue life evaluation methods, that can operate on the data in frequency-domain, such as power spectral density (PSD). A crucial part of a vibration fatigue analysis is the modal analysis, that exposes the natural modes and frequencies of the vibrating structure and enables accurate prediction of the local stress responses for the given excitation. Only then, when the stress responses are known, can vibration fatigue be successfully characterized. The more classical approach of fatigue evaluation consists of cycle counting, using the rainflow algorithm and summation by means of the Palmgren-Miner linear damage hypothesis, that appropriately sums the damages of respective cycles. When the time history is not known, because the load is random (e.g. a car on a rough road or a wind driven turbine), those cycles can not be counted. Multiple time histories can be simulated for a given random process, but such procedure is cumbersome and computationally expensive. Vibration-fatigue methods offer a more effective approach, which estimates fatigue life based on moments of the PSD. This way, a value is estimated, that would otherwise be calculated with the time-domain approach. When dealing with many material nodes, experiencing different responses (e.g. a model in a FEM package), time-histories need not be simulated. It then becomes viable, with the use of vibration-fatigue methods, to calculate fatigue life in many points on the structure and successfully predict where the failure will most probably occur.
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