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Mar 5, 2022 at 1:07 answer added Jared timeline score: 0
Mar 15, 2020 at 17:22 comment added Richard Lyons @Hustler. Hi. I've never worked on a machine vibration problem before, but something just occurred to me. If you see a narrow spectral peak in your FFT spectral magnitude samples you might relate the frequency (vibrations/second) of that spectral peak to a shaft's rotational velocity and how many rollers (or balls) are in the bearing between that shaft and the gear box housing. Just a thought.
Mar 15, 2020 at 14:59 history edited Marcus Müller CC BY-SA 4.0
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Mar 15, 2020 at 14:53 answer added Richard Lyons timeline score: 3
Mar 15, 2020 at 14:52 comment added Hustler That's the problem. It's an EOL test. It is not known beforehand what can be defective. Therefore it is difficult to determine a certain frequency. I am currently training a CNN and would like to know which signal length is most useful. If one revolution of the output is enough or if it is more reasonable to take several revolutions.
Mar 15, 2020 at 14:44 comment added TimWescott What are the expected frequencies of vibration, and what do you expect to learn from the vibrational signal? You need to know those to proceed, and if you know those then you don't need to know the rotation rate, at least not directly.
Mar 15, 2020 at 14:32 comment added Hustler I would like to use the data to be able to use ML algorithms to predict whether a gear (gear damage, bearing damage) is defective or not.
Mar 15, 2020 at 14:20 answer added jithin timeline score: 1
Mar 15, 2020 at 14:06 comment added axk It depends on what you need this data for. More samples would give you smaller frequency bins (more frequency resolution) at the expense of longer computation time. The highest frequency that you'll be able to capture at 48kSps is <24kHz.
Mar 15, 2020 at 14:00 review First posts
Mar 15, 2020 at 16:43
Mar 15, 2020 at 13:59 history asked Hustler CC BY-SA 4.0