Monitoring, diagnosis and control of industrial processes
โ 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
No coin nor oath required. For personal study only.
โฆ 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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