Diagnosis on crankshaft bearing fault based on EEMD and fuzzy C mean clustering arithmetic

Neiranji Xuebao/Transactions of CSICE (Chinese Society for Internal Combustion Engines)

Volumn 29, Issue 4, 2011, Pages 332-336

  Zhang, Ling Ling ^a,b   Liao, Hong Yun ^b   Cao, Ya Juan ^b   Luo, Shi Ding ^b   Zhao, Yi Guan ^b  

^a ORDNANCE ENGINEERING COLLEGE   (China)

^b MILITARY TRANSPORTATION UNIVERSITY   (China)

Author keywords

Crankshaft bearing; Empirical mode decomposition; Fault diagnosis; Fuzzy C mean clustering arithmetic; Singular value decomposition

Indexed keywords

CHARACTERISTIC VECTORS; CLUSTERING CENTERS; CRANKSHAFT BEARING; EMPIRICAL MODE DECOMPOSITION; FAULT FEATURE; FAULT PATTERNS; FEATURE PARAMETERS; FUZZY C MEAN CLUSTERING; FUZZY C MEAN CLUSTERING ARITHMETIC; INITIAL VECTORS; MATRIX; NONSTATIONARY; SINGULAR VALUES; SVD METHOD; VIBRATION SIGNAL;

BEARINGS (STRUCTURAL); DECOMPOSITION; SINGULAR VALUE DECOMPOSITION;

CRANKSHAFTS;

EID: 80052296391     PISSN: 10000909     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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