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Fault Detection and Diagnosis in Chemical Plants Using Neural Agents

✍ Scribed by J. Neumann; H. Fahlenkamp; S. Schlüter; G. Deerberg


Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
292 KB
Volume
26
Category
Article
ISSN
0930-7516

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## Abstract Process fault detection and diagnosis is an important problem in plant control at the supervisory level. It is the central component of abnormal event management which has attracted a lot of attention recently. In this study, the use of artificial neural networks (ANN) for fault detecti