Why do you think it should? Kurtosis is about the characteristics of a tail on a statistic distribution, which doesn't appear to be what you are measuring.

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I think you'd get better results by looking at the crest factor, peak over RMS, or the amplitude distribution.

Cheers

Greg Locock


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IRstuff
i'm starting to use kurtosis as "new frontier to find bearing problem" as some salesman use to sell his products.
Some other speak about technique to find impacting or impulsive signal....
I wanted to try personally and i found it is not really as aspected.
Anyway i know some technician use it with good results.
Or i have misconception about how Kurtosis work and the waveform in attach it is a rare case where kurtosis doesn't works or kurtosis is useful for other type of investigation.

I'm not really familiar with statistics and i didn't find yet a simple explanation about how Kurtosis work.

GregLocock
I used crest factor several time but also in this case the crest factor value is not really big. In this case is simple to say crest factor is better indication because you have a comparison signal. In any case i could not to assert impulsiveness only from crest factor because it is very low value.

Given that your "signal" rides on another signal of the exact same frequency, it seems dubious to extract the difference in any unfiltered means, unless you compare measurements wit, and without, the spikes. It just seems to me that something like an unsharp mask approach to extract only the high frequency spikes would be required.

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I think this article says something similar: http://downloads.hindawi.com/journals/sv/2002/6476...

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Fundamentally the issue is that the there is relatively little energy in the spike compared with the base sinusoid. One approach I've seen for a signal like this is to gate it, that is, average the time history for each cycle starting from the same shaft position. On the other hand, as IRStuff implies, a high pass filter may be all that is needed.

Cheers

Greg Locock


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