Harmony theory yields robust machine fault-diagnostic systems based on learning vector quantization classifiers

Engineering Applications of Artificial Intelligence

Volumn 9, Issue 5, 1996, Pages 487-498

  Tse, Peter ^a   Wang, D D ^a   Atherton, Derek ^b  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b City University of Hong Kong ^*

Author keywords

Consistency; Fault diagnosis; Harmony theory; Neural networks; Pattern classification; Probability distribution

Indexed keywords

FAILURE ANALYSIS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; PATTERN RECOGNITION SYSTEMS; PROBABILITY; VECTOR QUANTIZATION;

FAULT DIAGNOSTIC SYSTEMS; LEARNING VECTOR QUANTIZATION CLASSIFIER;

PATTERN RECOGNITION;

EID: 0030262134     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/0952-1976(96)00042-5     Document Type: Article

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