PSD (Power Spectral Density) Interpertation/Understanding
PSD (Power Spectral Density) Interpertation/Understanding
(OP)
Dears,
I need help to understand PSD values interpretation.
When a PSD is created from acceleration values of a Time domain data from a random vibration scenario.
The acceleration values might occur more than once, or the data values might fall within a certain range/width of values.
A Histogram of the data will show the frequency content of the values.
A PSD will convert the Time domain data (acceleration) values to frequency domain data ((accelerationRMS)^2/Hz) values.
What the PSD data tell us?
Does PSD tells that Ordinate (y-axis) value occurrence is this many times, which is the frequency value on the abscissa (x-axis).
Can the PSD values be calculated from a Histogram of the Time domain data?
Thank you very much for your help of explanation and insight.
I need help to understand PSD values interpretation.
When a PSD is created from acceleration values of a Time domain data from a random vibration scenario.
The acceleration values might occur more than once, or the data values might fall within a certain range/width of values.
A Histogram of the data will show the frequency content of the values.
A PSD will convert the Time domain data (acceleration) values to frequency domain data ((accelerationRMS)^2/Hz) values.
What the PSD data tell us?
Does PSD tells that Ordinate (y-axis) value occurrence is this many times, which is the frequency value on the abscissa (x-axis).
Can the PSD values be calculated from a Histogram of the Time domain data?
Thank you very much for your help of explanation and insight.
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RE: PSD (Power Spectral Density) Interpertation/Understanding
I suggest you read up on Fourier transforms.
TTFN (ta ta for now)
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RE: PSD (Power Spectral Density) Interpertation/Understanding
A histogram tabulates values into bins/categories, and you might loosely call the number of items in a given bin the "frequency" of occurrence of that value range.
But that type of "frequency" has absolutely nothing to do with the type of frequency studied in fourier analysis or psd analysis.
No.
No.
I think it deserves a bit of googling on your part to get an idea of the complexity of the topic and various definitions and applications of PSD.
I don't work with it much (work with FFT's a lot more). My two cents is that PSD is typically useful for studying and characterizing random signals, whereas as fft are more often more useful for periodic signals.
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(2B)+(2B)' ?
RE: PSD (Power Spectral Density) Interpertation/Understanding
You need a spectrum (amplitude versus frequency)and cannot get it from a histogram.
Amplitude values are squared
https://www.bing.com/search?q=power+spectral+densi...
https://community.sw.siemens.com/s/article/what-is...
https://blog.endaq.com/vibration-analysis-fft-psd-...
Walt
RE: PSD (Power Spectral Density) Interpertation/Understanding
TTFN (ta ta for now)
I can do absolutely anything. I'm an expert! https://www.youtube.com/watch?v=BKorP55Aqvg
FAQ731-376: Eng-Tips.com Forum Policies forum1529: Translation Assistance for Engineers Entire Forum list http://www.eng-tips.com/forumlist.cfm
RE: PSD (Power Spectral Density) Interpertation/Understanding
when dealing with "discrete" time series data, you use discrete transforms. They work the same way as traditional PSD methods, but with discrete time series data.
Electronic measurements use this too, as the data is digitized.