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From: mjb@goanna.cs.rmit.oz.au (Mat Boek)
Newsgroups: comp.ai.neural-nets
Subject: NNs for machine vibration analysis: Request for info.
Keywords: back-propagation application vibration analysis
Message-ID: <4852@goanna.cs.rmit.oz.au>
Date: 28 Feb 91 03:12:19 GMT
Organization: Comp Sci, RMIT, Melbourne, Australia
Lines: 25


I have been working in applying back-prop networks to the problem of fault
diagnosis of machinery through analysis of their vibration signals, for my
Masters degree thesis.  The method I use involves collecting vibration signals
from tranducers attached to critical points on the operating machine, filtering
and digitally processing the signal (FFT) to produce spectra, which represent
the machine's state at a given time.  Certain features are extracted from the
spectra, and these features are used as inputs to the network.

As yet, I haven't found any evidence of other work on applying  neural-net 
(or expert-systems) to this type of problem, apart from using nets to classify
sonar signals (Gorman and Sejnowski, 1987).  Does anyone know of work that 
is being done in this, or a similar area?  Any help, comments etc., will be 
very much appreciated, and queries cheerfully answered, if possible!

Please reply directly via e-mail, if response warrants I'll post a summary..

Thanks in advance,

Mat Boek.
-- 
Mat Boek, Computer Science        ACSnet: mjb@goanna.cs.rmit.oz
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