Root Cause Diagnosis of Process Fault Using KPCA and Bayesian Network
Author:
Affiliation:
1. Faculty of Engineering and Applied Science, Memorial University, St. John’s, Newfoundland and Labrador A1B 3X9, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.6b01916
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