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Sensor fault detection, isolation and reconstruction using nonlinear principal component analysis

โœ Scribed by Mohamed-Faouzi Harkat; Salah Djelel; Noureddine Doghmane; Mohamed Benouaret

Book ID
107435641
Publisher
Institute of Automation, Chinese Academy of Sciences
Year
2007
Tongue
English
Weight
620 KB
Volume
4
Category
Article
ISSN
1476-8186

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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