Neuromorphic Multiple-Fault Diagnosing System Based on Plant Dynamic Characteristics
Author:
Affiliation:
1. Department of Chemical and Petroleum Engineering, Sharif University of Technology, P.O. Box 14155-4838, Azadi Avenue, Tehran, Iran
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ie400136w
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1. Fault detection and isolation of faults in a multivariate process with Bayesian network
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5. Observer-based sensor fault detection and isolation for chemical batch reactors
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