An evolvable self-organizing neuro-fuzzy multilayered classifier with group method data handling and grammar-based bio-inspired supervisors for fault diagnosis of hydraulic systems

International Journal of Intelligent Computing and Cybernetics

Volumn 7, Issue 1, 2014, Pages 38-78

  Mozaffari, Ahmad ^a   Fathi, Alireza ^b   Behzadipour, Saeed ^c  

^a UNIVERSITY OF WATERLOO   (Canada)

^b BABOL NOSHIRVANI UNIVERSITY OF TECHNOLOGY   (Iran)

^c SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Fault identification; Self adjusting systems

Indexed keywords

DATA HANDLING; FUZZY SYSTEMS; HYDRAULIC EQUIPMENT; HYDRAULIC MACHINERY; PARAMETER ESTIMATION; PARTICLE SWARM OPTIMIZATION (PSO); SUPERVISORY PERSONNEL; SUPPORT VECTOR MACHINES;

BIO-INSPIRED ALGORITHMS; CONSTRUCTIVE PARAMETERS; DESIGN/METHODOLOGY/APPROACH; EVOLUTIONARY STRATEGIES; EXPLORATION/EXPLOITATION; FAULT IDENTIFICATIONS; NEURO-FUZZY CLASSIFIERS; SELF-ADJUSTING SYSTEMS;

NUMERICAL METHODS;

EID: 84899023494     PISSN: 1756378X     EISSN: 17563798     Source Type: Journal    
DOI: 10.1108/IJICC-06-2013-0034     Document Type: Article

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