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   -> Volume 7, Issue 9


Question: Wavelets in fault diagnsosis
 
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o.gopinath@sheffield.ac.uk
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PostPosted: Thu Aug 27, 1998 11:46 am    
Subject: Question: Wavelets in fault diagnsosis
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#19 Question: Wavelets in fault diagnsosis

Hi

I am a Marine engineer turned Computer science reseracher! The area
of my research is "Developing early warning systems for machinery".

I have collected vast amounts of data from a 2 cylinder, 4-stroke
Diesel engine.

The data is in the form of Cylinder pressures, Vibration signals and
Acoustic emission signals measured from the top of the cylinder head
of the engine.

Basically I have collected 2400 samples (each sample represents one
complete cycle or 2 revolutions of the engine) of data under Normal
operating condtions, Leaking exhaust valve condition, Leaking Inlet
valve condition and Faulty fuel injection condition. The cylinder
pressures are DC signlas and give me good nclassification results when
used with Artificial Neural Nets.

I have used DB4 wavelets (both continuous and discreet) to analyse the
data. There is almost no perceivable difference between the classes
of data. I am planning to compress the data using wavelets and then
use the highest 3 or 4 coefficients from each level as inputs to a
classifier Neural net.

Any suggestions would be gratefully received.

Gopi O.Chandroth C.Eng(India), MSc.
(Officially known as O.C.Gopinath)
Department of Computer Science
University of Sheffield,
UK.
mailto: gopi@dcs.shef.ac.uk

[Answer WD 7.10 #23]
[Answer WD 7.12 #21]
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