A possibilistic clustering approach to novel fault detection and isolation

Author:

Detroja K.P.,Gudi R.D.,Patwardhan S.C.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modelling and Simulation,Control and Systems Engineering

Reference26 articles.

1. Multivariate statistical monitoring of process operating performance;Kresta;Canadian Journal of Chemical Engineering,1991

2. Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis;Chiang;Chemometrics and Intelligent Laboratory Systems,2000

3. A review of process fault detection and diagnosis. Part I. Quantitative model-based methods;Venkatasubramanian;Computers and Chemical Engineering,2003

4. Fault Detection and Diagnosis in Chemical and Petrochemical Processes;Himmelblau,1978

5. Pattern Classification;Duda,2003

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