Adaptive feature extraction using sparse coding for machinery fault diagnosis

Mechanical Systems and Signal Processing

Volumn 25, Issue 2, 2011, Pages 558-574

  Liu, Haining ^a   Liu, Chengliang ^a   Huang, Yixiang ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Fault diagnosis; Feature extraction; Shift invariant sparse coding; Sparse coding; Vibration analysis

Indexed keywords

BASIS FUNCTIONS; CORE PROBLEMS; DIAGNOSTIC INFORMATION; DICTIONARY LEARNING; DISCRIMINABILITY; FAULT CONDITIONS; FAULT DIAGNOSIS; FEATURE EXTRACTION TECHNIQUES; LINEAR DISCRIMINANT ANALYSIS; MACHINERY FAULTS; MATHEMATICAL DESCRIPTIONS; MULTI-CLASS; NATURAL EXTENSION; REDUNDANT DICTIONARIES; ROLLING ELEMENT BEARING; SENSORY SYSTEM; SHIFT INVARIANT; SPARSE CODING; SPARSE REPRESENTATION; TARGET SIGNALS; UNDERLYING PRINCIPLES; VIBRATION SIGNAL;

BEARINGS (STRUCTURAL); DIAGNOSIS; DISCRIMINANT ANALYSIS; MACHINERY; MAMMALS; SIGNAL PROCESSING; VIBRATION ANALYSIS;

FEATURE EXTRACTION;

EID: 78649634282     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2010.07.019     Document Type: Article

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