Designing a hierarchical neural network based on fuzzy clustering for fault diagnosis of the Tennessee-Eastman process

Applied Soft Computing Journal

Volumn 11, Issue 1, 2011, Pages 1407-1415

  Eslamloueyan, Reza ^a  

^a SHIRAZ UNIVERSITY   (Iran)

Author keywords

Fuzzy C means clustering; Hierarchical neural network; Nonlinear process; Process fault diagnosis; Tennessee Eastman process

Indexed keywords

FUZZY C MEANS CLUSTERING; HIERARCHICAL NEURAL NETWORKS; NONLINEAR PROCESS; PROCESS FAULTS; TENNESSEE EASTMAN PROCESS;

CHEMICAL PLANTS; CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; FUZZY CLUSTERING; FUZZY SYSTEMS; INDUSTRIAL APPLICATIONS; PRINCIPAL COMPONENT ANALYSIS; THERMOELECTRIC POWER;

NEURAL NETWORKS;

EID: 77957925437     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2010.04.012     Document Type: Article

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