Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
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- 作者：Feng Jia ; Yaguo Lei ; yaguolei@mail.xjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Jing Lin ; Xin Zhou ; Na Lu
- 关键词：Deep learning ; Deep neural networks ; Intelligent fault diagnosis ; Rotating machinery ; Massive data
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2016
- 出版时间：May 2016
- 年：2016
- 卷：72-73
- 期：Complete
- 页码：303-315
- 全文大小：1424 K
文摘
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A novel intelligent diagnosis method based on deep neural networks is proposed.
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The method implements both fault characteristic mining and intelligent diagnosis.
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The method is validated by machinery massive data under various operating conditions.