Rolling Bearing Fault Diagnosis Based on STFT-Deep Learning and Sound Signals

Rolling Bearing Fault Diagnosis Based on STFT-Deep Learning and Sound Signals

The main challenge of fault diagnosis lies in finding good fault features. A deep learning network has the ability to automatically learn good characteristics from input data in an unsupervised fashion, and its unique layer-wise pretraining and fine-tuning using the backpropagation strategy can solv...

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Bibliographic Details
Main Authors:	Hongmei Liu, Lianfeng Li, Jian Ma
Format:	Article
Language:	English
Published:	Wiley 2016-01-01
Series:	Shock and Vibration
Online Access:	http://dx.doi.org/10.1155/2016/6127479
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