Random Vibration and PSD spectrum profiles

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Discussion Overview

This discussion revolves around the concepts of random vibration and Power Spectral Density (PSD) profiles, particularly in the context of structural durability and shaker testing. Participants raise fundamental questions regarding the representation of random vibration, the calculation of PSD from time data, and the conversion of PSD profiles into time data for testing purposes.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • Some participants question why random vibration is represented in Power Spectrum (g²/Hz) instead of amplitude Spectrum (g), suggesting that amplitude spectrum might suffice if the random vibration data is repeatable.
  • There are inquiries about the steps required to calculate PSD from time data, similar to how Fourier transform is applied to obtain amplitude spectrum.
  • Participants seek clarification on how PSD profiles are converted to time data for shaker tests, specifically whether the PSD profile is repeated over the test duration and how this is achieved.
  • One participant explains the differences between random tests and sine sweep tests, noting that sine sweep tests excite one frequency at a time, while random tests excite the entire spectrum, allowing for the measurement of interference between resonances.
  • Another participant mentions that G²/Hz represents acceleration spectral density rather than power spectral density, and distinguishes between input values and output values in this context.
  • A participant references an article by Tom Irvine discussing the unusual units used in this field, attributing them to practical considerations in signal processing.

Areas of Agreement / Disagreement

Participants express various viewpoints and questions regarding the representation and calculation of PSD profiles, indicating that there is no consensus on some of the fundamental questions raised. The discussion remains open with multiple competing views and clarifications provided.

Contextual Notes

Some limitations include the dependence on specific definitions of terms like Power Spectral Density and the unresolved nature of the steps for calculating PSD from time data. Additionally, the relationship between input and output values in the context of spectral density remains nuanced.

Saumya Kar
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I am starting work on structural durability area for after treatment systems and deal with Random Vibration and PSD profiles quite often. However there are few fundamental questions about PSD profiles that I could not get answer to after a lot of search on internet. So finally decided to write to you. Here are my questions:

1. Why random vibration is represented in Power Spectrum (g^2/Hz) and not amplitude Spectrum (g) ? Both of them represent data in frequency domain and if we assume the random vibration data to be repeatable (which is the case almost always), isn't amplitude spectrum good enough ?

2. What are the steps for calculating PSD from time data ? (Like we do Fourier transform on time data to get amplitude specptrum).

3. When we use PSD profiles as input excitation for shaker test, how is spectrum is converted to time data ? When we test the component for X hours with input PSD profile, is the PSD profile repeated certain number of time in that given duration ? If yes how is that done ? (I am trying to correlate to a sine sweep test where we know the time required to cover frequency range and the cycle is repeated a number of times over total duration).
 
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Saumya Kar said:
I am starting work on structural durability area for after treatment systems and deal with Random Vibration and PSD profiles quite often. However there are few fundamental questions about PSD profiles that I could not get answer to after a lot of search on internet. So finally decided to write to you. Here are my questions:

1. Why random vibration is represented in Power Spectrum (g^2/Hz) and not amplitude Spectrum (g) ? Both of them represent data in frequency domain and if we assume the random vibration data to be repeatable (which is the case almost always), isn't amplitude spectrum good enough ?

2. What are the steps for calculating PSD from time data ? (Like we do Fourier transform on time data to get amplitude specptrum).

3. When we use PSD profiles as input excitation for shaker test, how is spectrum is converted to time data ? When we test the component for X hours with input PSD profile, is the PSD profile repeated certain number of time in that given duration ? If yes how is that done ? (I am trying to correlate to a sine sweep test where we know the time required to cover frequency range and the cycle is repeated a number of times over total duration).

Just wanted to make the post active again. If anyone can help with questions, it will be great help :)

Appreciate any leads.

Best Regards
Saumya
 
The random test and sine sweep test are most commonly used to find the natural frequency of a component. They work differently than each other.
The sine sweep test only excites one frequency at a time. Thats useful for finding individual resonances of a component or system.

However, some resonances interfere with each other. Depending on their superposition, this interference might be constructive or destructive. A sine sweep will only excite resonances that share the same frequency. So if your component has a mode at 120hz, but also a mode at 190hz, the shaker will only be able to excite one of them at a time with a sine sweep test.

With a random test, the entire spectrum is excited. So those resonances are going to happen at the same time as each other. You will be able to measure how the modes interfere with each other. There are webinars that you can watch if you do some digging on the internet. I'll see if I can find anything useful.

G2Hz is giving you acceleration spectral density, rather than power spectral density. The PSD that you are used to seeing would be used to represent the input values. The ASD is the output.
 
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RogueOne said:
The random test and sine sweep test are most commonly used to find the natural frequency of a component. They work differently than each other.
The sine sweep test only excites one frequency at a time. Thats useful for finding individual resonances of a component or system.

However, some resonances interfere with each other. Depending on their superposition, this interference might be constructive or destructive. A sine sweep will only excite resonances that share the same frequency. So if your component has a mode at 120hz, but also a mode at 190hz, the shaker will only be able to excite one of them at a time with a sine sweep test.

With a random test, the entire spectrum is excited. So those resonances are going to happen at the same time as each other. You will be able to measure how the modes interfere with each other. There are webinars that you can watch if you do some digging on the internet. I'll see if I can find anything useful.

G2Hz is giving you acceleration spectral density, rather than power spectral density. The PSD that you are used to seeing would be used to represent the input values. The ASD is the output.
Thank you. This explanation helps.
 
There is a great article by Tom Irvine on why the units are unusual. I have myself wondered this for some time, working in this field. The units are generally motivated by the practical considerations of signal processing, viz., getting a meaningful measure of amplitude that is free from the effects of a chosen sampling bandwidth.
 

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