Fault diagnosis of rotating machinery with a novel statistical feature extraction and evaluation method

Mechanical Systems and Signal Processing

Volumn 50-51, Issue , 2015, Pages 414-426

  Li, Wei ^a   Zhu, Zhencai ^a   Jiang, Fan ^a   Zhou, Gongbo ^a   Chen, Guoan ^a  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

Author keywords

Fault classification; Fault diagnosis; Feature extraction; Rotating machinery

Indexed keywords

FAILURE ANALYSIS; FEATURE EXTRACTION; NEURAL NETWORKS; NORMAL DISTRIBUTION; ROTATING MACHINERY; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES; ALGEBRA; CLASSIFICATION (OF INFORMATION); COMPUTATION THEORY; COMPUTER AIDED DIAGNOSIS; EXTRACTION; MACHINERY; VIBRATION ANALYSIS;

ALGEBRAIC COMPUTATIONS; CENTRAL LIMIT THEORY; DECOUPLING TECHNIQUE; FAULT CLASSIFICATION; FAULT DIAGNOSIS OF ROTATING MACHINERIES; STATISTICAL FEATURE EXTRACTIONS; STATISTICAL FEATURES; SUPPORT VECTOR MACHINE (SVMS); CLASSIFICATION RATES; EXTRACTION PROCEDURE;

FAULT DETECTION;

EID: 84905828170     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2014.05.034     Document Type: Article

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