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A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process

  • Published:2012-10 Issue:9 Volume:22 Page:1567-1581
  • ISSN:0959-1524
  • Container-title:Journal of Process Control
  • language:en
  • Short-container-title:Journal of Process Control

Author:

Yin Shen,Ding Steven X.,Haghani Adel,Hao Haiyang,Zhang Ping

Publisher

Elsevier BV

Subject

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

Reference58 articles.

1. Detection of Abrupt Changes: Theory and Application;Basseville,1993

2. Diagnosis and Fault-Tolerant Control;Blanke,2006

3. Some theorems on quadratic forms applied in the study of analysis of variance problems. I. Effect of inequality of variance in the one-way classification;Box;The Annals of Mathematical Statistics,1954

4. Fault diagnosis based on fisher discriminant analysis and support vector machines;Chiang;Computers and Chemical Engineering,2004

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