Cognitive fault diagnosis in Tennessee Eastman Process using learning in the model space

Computers and Chemical Engineering

Volumn 67, Issue , 2014, Pages 33-42

  Chen, Huanhuan ^a   Tiňo, Peter ^b   Yao, Xin ^b  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

Cognitive fault diagnosis; Fault detection; Learning in the model space; One class learning; Reservoir computing; Tennessee Eastman Process

Indexed keywords

ELECTRIC FAULT CURRENTS;

EXPERIMENTAL COMPARISON; INCREMENTAL LEARNING; MODEL SPACES; MULTIPLE INPUT AND MULTIPLE OUTPUTS; ONE-CLASS LEARNING; RESERVOIR COMPUTING; STATE-OF-THE-ART APPROACH; TENNESSEE EASTMAN PROCESS;

FAULT DETECTION;

EID: 84940217905     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2014.03.015     Document Type: Article

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