An enhancement deep feature fusion method for rotating machinery fault diagnosis

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• 作者：Haidong Shao ; Hongkai Jiang ; ^{jianghk@nwpu.edu.cn} ; Fuan Wang ; Huiwei Zhao
• 关键词：Deep feature fusion ; Feature enhancement ; Fault diagnosis ; Rotating machinery ; Locality preserving projection
• 刊名：Knowledge-Based Systems
• 出版年：2017
• 出版时间：1 March 2017
• 年：2017
• 卷：119
• 期：Complete
• 页码：200-220
• 全文大小：6144 K
• 卷排序：119

文摘

A new deep learning method is proposed to automatically learn the useful fault features from the raw vibration signals. A new deep auto-encoder model is constructed for the enhancement of feature learning ability. Locality preserving projection is adopted to fuse the deep features to extract the most representative information.