Why Use PSD Curves in Random Vibration Analysis?

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PSD curves are essential in random vibration analysis as they provide a clearer representation of energy distribution across various frequency components, unlike acceleration versus time graphs. Using PSD allows for the identification of dominant signal characteristics, such as natural frequencies and harmonics, which can be obscured in time series data. The conversion to g^2/Hz and Hz facilitates a more effective analysis of vibration behavior. This method enhances understanding of how systems respond to vibrations, especially when evaluating vibration isolators. Overall, PSD curves are preferred for their ability to simplify complex data into actionable insights.
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In the analysis of Random vibration, we use the PSD curves as the input, I am confused as to why we simply don't use acceleration versus time graph but instead convert it into g^2/Hz and Hz.
 
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I don't know the answer to your question but I found this writeup that talks about vibration isolators and the use of PSD curves:

http://www.emtengineering.com/wp-content/uploads/2013/04/Barry-Controls-Random-Vibration.pdf

see page 10
 
It depends on the information you hope to view, but PSDs are generally very useful because they let you see the distribution of energy among the many Fourier components of s given signal. It's a lot more useful to see dominant signal characteristics like natural frequencies an their harmonics using a PSD than it is to try and pick that out of some quasi-random time series.
 

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