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Fault Isolation by Partial Dynamic Principal Component Analysis in Dynamic Process

✍ Scribed by Rongyu LI; Gang RONG

Book ID
114337823
Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
625 KB
Volume
14
Category
Article
ISSN
1004-9541

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Fault isolation in nonlinear systems wit
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## Abstract Partial principal component analysis (PCA) and parity relations are proven to be useful methods in fault isolation. To overcome the limitation of applying partial PCA to nonlinear problems, a new approach utilizing clustering analysis is proposed. By dividing a partial data set into sma