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Volumn 33, Issue 5, 2012, Pages 1055-1061

Rotating machinery fault diagnosis based on mathematical morphology and fuzzy clustering

Author keywords

Fault diagnosis; Fractal dimension; Gath Geva(GG) fuzzy clustering; Mathematical morphology; Morphology spectrum; Morphology spectrum entropy

Indexed keywords

CLUSTERING EFFECT; DATA SETS; DIAGNOSIS ALGORITHMS; DIFFERENT SHAPES; FAULT CHARACTERISTICS; FAULT FEATURE; FAULT PATTERNS; MACHINERY FAULTS; MORPHOLOGICAL CHARACTERISTIC; MORPHOLOGICAL OPENING; MORPHOLOGICAL OPERATIONS; MORPHOLOGICAL SPECTRUM; MORPHOLOGY SPECTRUM; MULTISCALES; ROLLING BEARINGS; STRUCTURE ELEMENTS; TWO PARAMETER;

EID: 84863519007     PISSN: 02543087     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (28)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.