Engine wear fault diagnosis based on improved semi-supervised fuzzy c-means clustering

Jixie Gongcheng Xuebao/Journal of Mechanical Engineering

Volumn 47, Issue 17, 2011, Pages 55-60

  Xu, Chao ^a   Zhang, Peilin ^a   Ren, Guoquan ^a   Fu, Jianping ^a  

^a ORDNANCE ENGINEERING COLLEGE   (China)

Author keywords

AR model; Fault diagnosis; Optimized objective function; Semi supervised fuzzy C means clustering

Indexed keywords

AR MODELS; ATOMIC EMISSION; AUTOREGRESSION; AVERAGE DISTANCE; CLUSTERING PROCESS; ENGINE BENCH TESTS; ENGINE WEAR; FUZZY C MEANS CLUSTERING; FUZZY C-MEANS CLUSTERING ALGORITHMS; LOCAL EXTREMUM; MATRIX; OBJECTIVE FUNCTIONS; OIL SAMPLES; RESIDUAL VARIANCE; SEMI-SUPERVISED; TRAINING SAMPLE; UNLABELED SAMPLES;

CLUSTER ANALYSIS; ENGINES; FUZZY CLUSTERING; FUZZY SYSTEMS; OPTIMIZATION; REGRESSION ANALYSIS; SAMPLING;

CLUSTERING ALGORITHMS;

EID: 80054695922     PISSN: 05776686     EISSN: None     Source Type: Journal    
DOI: 10.3901/JME.2011.17.055     Document Type: Article

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