A new feature extraction and selection scheme for hybrid fault diagnosis of gearbox

► We present a novel feature extraction and selection scheme for hybrid fault diagnosis of gearbox. We extract feature parameters for gearbox fault diagnosis using S transform and non-negative matrix factorization. We present a two stage feature selection combining filter and wrapper techniques base...

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Veröffentlicht in:	Expert systems with applications 2011-08, Vol.38 (8), p.10000-10009
Hauptverfasser:	Li, Bing, Zhang, Pei-lin, Tian, Hao, Mi, Shuang-shan, Liu, Dong-sheng, Ren, Guo-quan
Format:	Artikel
Sprache:	eng
Schlagworte:	Bearing Classification Classifiers Defects Fault diagnosis Faults Feature extraction Feature selection Gearbox Gearboxes Hybrid fault diagnosis Mutual information Non-dominated sorting genetic algorithms II (NSGA-II) Non-negative matrix factorization (NMF) S transform
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