Fuzzy systems design based on a hybrid neural structure and application to the fault diagnosis of technical processes

Control Engineering Practice

Volumn 4, Issue 1, 1996, Pages 35-42

  Ayoubi, M ^a  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Fault diagnosis; Hebbian learning; Neuro fuzzy structure; Rule extraction; Turbocharger; Vehicle wheels

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; ELECTRIC NETWORK TOPOLOGY; EXPERT SYSTEMS; FAILURE ANALYSIS; FUZZY SETS; INFERENCE ENGINES; LEARNING SYSTEMS; NEURAL NETWORKS; SYSTEMS ANALYSIS; VEHICLE WHEELS;

FAULT DIAGNOSIS; FUZZY INFERENCE MECHANISM; HEBBIAN LEARNING; HYBRID NEURAL STRUCTURE; NEURO FUZZY STRUCTURE; TURBOCHARGER;

KNOWLEDGE BASED SYSTEMS;

EID: 0029753439     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/0967-0661(95)00204-8     Document Type: Article

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