Fault diagnosis of bearings based on a sensitive feature decoupling technique

Measurement Science and Technology

Volumn 24, Issue 3, 2013, Pages

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

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

Author keywords

bearings; fault diagnosis; sensitive feature decoupling; wavelet packet transform

Indexed keywords

BEARINGS (STRUCTURAL); FAILURE ANALYSIS; LEARNING SYSTEMS;

ALGEBRAIC COMPUTATIONS; BEARING FAULT; DECISION LOGIC; DECOUPLING TECHNIQUE; FEATURE MATRICES; HEALTH CONDITION; MACHINE LEARNING METHODS; NULL SPACE; ROTATING MACHINE; SENSITIVE FEATURES; SIGNIFICANT DIFFERENCES; TRAINING PROCEDURES; VIBRATION SIGNAL; WAVELET PACKET TRANSFORMS;

VECTOR SPACES;

EID: 84874337245     PISSN: 09570233     EISSN: 13616501     Source Type: Journal    
DOI: 10.1088/0957-0233/24/3/035602     Document Type: Article

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