Fault Diagnosis Using a Joint Model Based on Sparse Representation and SVM

IEEE Transactions on Instrumentation and Measurement

Volumn 65, Issue 10, 2016, Pages 2313-2320

  Ren, Likun ^a   Lv, Weimin ^a   Jiang, Shiwei ^a   Xiao, Yang ^a  

^a Naval Aeronautics and Astronautics University   (China)

Author keywords

Fault diagnosis; sparse representation; support vector machine (SVM)

Indexed keywords

AEROSPACE INDUSTRY; COMPUTER AIDED DIAGNOSIS; FAILURE ANALYSIS; ROLLER BEARINGS; SUPPORT VECTOR MACHINES;

CONFIDENCE FACTORS; CONFIDENCE THRESHOLD; INTEGRATED FRAMEWORKS; NUMBER OF SAMPLES; ROLLER BEARING FAULT; SPARSE REPRESENTATION; SPARSE REPRESENTATION BASED CLASSIFICATIONS; TESTING SAMPLES;

FAULT DETECTION;

EID: 84975229487     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2016.2575318     Document Type: Article

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