Feature extraction for rolling element bearing fault diagnosis utilizing generalized S transform and two-dimensional non-negative matrix factorization

This paper presents a novel feature extraction scheme for roller bearing fault diagnosis utilizing generalized S transform and two-dimensional non-negative matrix factorization (2DNMF). The generalized S transform, which can make up the poor energy concentration of the standard S transform, is intro...

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Veröffentlicht in:	Journal of sound and vibration 2011-05, Vol.330 (10), p.2388-2399
Hauptverfasser:	Li, Bing, Zhang, Pei-lin, Liu, Dong-sheng, Mi, Shuang-shan, Ren, Guo-quan, Tian, Hao
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Bearing Bearings, bushings, rolling bearings Classification Drives Exact sciences and technology Factorization Fault diagnosis Faults Feature extraction Industrial metrology. Testing Mechanical engineering. Machine design Transforms Two dimensional Vibration
Online-Zugang:	Volltext
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