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A sequential feature extraction method based on discrete wavelet transform, phase space reconstruction, and singular value decomposition and an improved extreme learning machine for rolling bearing fault diagnosis 期刊论文
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING, 2018, 卷号: 232, 期号: 6, 页码: 635-649
作者:  Li, D. Z.;  Zheng, X.;  Xie, Q. W.;  Jin, Q. B.
收藏  |  浏览/下载：301/0  |  提交时间：2019/07/12
Fault identification classification  rolling bearing  discrete wavelet transform  phase space reconstruction  singular value decomposition  improved extreme learning machine  
Detection of Power Line Insulator Defects using Aerial Images Analyzed with Convolutional Neural Networks 期刊论文
IEEE Transactions on Systems Man Cybernetics-Systems, 2018, 卷号: 50, 期号: 0, 页码: 0
作者:  Tao Xian;  Zhang Dapeng;  Wang Zihao;  Liu Xilong;  Zhang Hongyan;  Xu De
Adobe PDF(2627Kb)  |  收藏  |  浏览/下载：932/350  |  提交时间：2018/10/08
Defect Detection  Insulators  Aerial Image  Convolutional Neural Network