New fault diagnosis method for rolling bearing based on PCA

2013 25th Chinese Control and Decision Conference, CCDC 2013

Volumn , Issue , 2013, Pages 4123-4127

  Xi, Jianhui ^a   Han, Yanzhe ^a   Su, Ronghui ^b  

^a SHENYANG AEROSPACE UNIVERSITY   (China)

^b Shenyang Aircraft Corporation   (China)

Author keywords

neural network; PCA; rolling bearing; wavelet packet energy spectrum

Indexed keywords

FAULT DIAGNOSIS METHOD; NEURAL NETWORK MODEL; PCA; ROLLING BEARINGS; STATISTICAL FEATURES; TIME FREQUENCY DOMAIN; WAVELET PACKET ENERGY SPECTRUM; WAVELET PACKET TRANSFORMATIONS;

BEARINGS (MACHINE PARTS); FREQUENCY BANDS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS;

ROLLER BEARINGS;

EID: 84882787627     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCDC.2013.6561673     Document Type: Conference Paper

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