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Monitoring, diagnosis and control of industrial processes

โœ Scribed by S.M. Alexander; T.B. Gor


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
245 KB
Volume
35
Category
Article
ISSN
0360-8352

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โœฆ Synopsis


We present a framework for monitoring, diagnosis, and control of industrial processes. This framework utilizes the multiresolution analysis capability of wavelet theory. Wavelet coefficient patterns at different scales, under a variety of process conditions, are noted to form process f'mgerprints, these fingerprints yield process fault diagnosis. This knowledge facilitates efficient control.


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