A Novel Bearing Fault Diagnosis Method Based on Gaussian Restricted Boltzmann Machine

To realize the fault diagnosis of bearing effectively, this paper presents a novel bearing fault diagnosis method based on Gaussian restricted Boltzmann machine (Gaussian RBM). Vibration signals are firstly resampled to the same equivalent speed. Subsequently, the envelope spectrums of the resampled...

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Veröffentlicht in:	Mathematical problems in engineering 2016-01, Vol.2016 (2016), p.1-8
Hauptverfasser:	Zhou, Chun-hua, Li, Yan-feng, Wang, Dong, He, Xiao-hui
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Bearing Belief networks Classifiers Datasets Engineering Envelopes Fault diagnosis Feature extraction Machine learning Mathematical analysis Methods Neural networks Normal distribution Support vector machines Vectors (mathematics)
Online-Zugang:	Volltext
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