Machine condition classification using deterioration feature extraction and anomaly determination

IEEE Transactions on Reliability

Volumn 60, Issue 1, 2011, Pages 41-48

  Jiang, Dongxiang ^a   Liu, Chao ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Condition classification; learning vector quantization neural network; t test; wavelet transform

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION SYSTEM; CONDITION CLASSIFICATION; DATA NORMALIZATION; DAUBECHIES WAVELET; DETERIORATION PROCESS; ENGINE CONDITIONS; FAILURE STATE; LEARNING VECTOR QUANTIZATION NEURAL NETWORK; MACHINE CONDITION MONITORING; MOTHER WAVELETS; ORIGINAL SIGNAL; SINGULAR POINTS; T TEST; T-TESTS; WAVELET SELECTION;

DETERIORATION; DISCRETE WAVELET TRANSFORMS; FEATURE EXTRACTION; NEURAL NETWORKS; VECTOR QUANTIZATION;

CONDITION MONITORING;

EID: 79952194684     PISSN: 00189529     EISSN: None     Source Type: Journal    
DOI: 10.1109/TR.2011.2104433     Document Type: Conference Paper

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