A new fault classification approach applied to Tennessee Eastman benchmark process

Applied Soft Computing Journal

Volumn 49, Issue , 2016, Pages 676-686

  D'Angelo, Marcos F S V ^a   Palhares, Reinaldo M ^b   Camargos Filho, Murilo C O ^a   Maia, Renato D ^a   Mendes, João B ^a   Ekel, Petr Ya ^c  

^a UNIMONTES   (Brazil)

^b FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^c PONTIFICAL CATHOLIC UNIVERSITY OF MINAS GERAIS   (Brazil)

Author keywords

Fault detection and isolation; Fuzzy Bayesian approach; Immune neural formulation; Tennessee Eastman benchmark process

Indexed keywords

FUZZY SET THEORY;

CHANGE POINT DETECTION; CLASSIFICATION SYSTEM; FAULT CLASSIFICATION; FAULT DETECTION AND ISOLATION; FUZZY/BAYESIAN APPROACH; IMMUNE/NEURAL FORMULATION; KOHONEN NEURAL NETWORKS; TENNESSEE EASTMAN;

FAULT DETECTION;

EID: 84987940143     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2016.08.040     Document Type: Article

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