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A Regularized LSTM Method for Predicting Remaining Useful Life of Rolling Bearings 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 581-593
作者:  Zhao-Hua Liu;  Xu-Dong Meng;  Hua-Liang Wei;  Liang Chen;  Bi-Liang Lu;  Zhen-Heng Wang;  Lei Chen
Adobe PDF(4710Kb)  |  收藏  |  浏览/下载：117/49  |  提交时间：2021/07/20
Deep learning  fault diagnosis  fault prognosis  long and short time memory network (LSTM)  rolling bearing  rotating machinery  regularization  remaining useful life prediction (RUL)  recurrent neural network (RNN)  
Contrastive Self-supervised Representation Learning Using Synthetic Data 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 556-567
作者:  Dong-Yu She;  Kun Xu
Adobe PDF(993Kb)  |  收藏  |  浏览/下载：176/41  |  提交时间：2021/07/20
Self-supervised learning  contrastive learning  synthetic image  convolutional neural network  representation learning