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Quality-Related Fault Diagnosis Based on k-Nearest Neighbor Rule for Non-Linear Industrial Processes 期刊论文
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2021, 卷号: 17, 期号: 11, 页码: 1-14
作者:  Ren, Zelin;  Tang, Yongqiang;  Zhang, Wensheng
Adobe PDF(1256Kb)  |  收藏  |  浏览/下载：335/60  |  提交时间：2021/12/28
fault detection  fault diagnosis  quality-related  non-linear industrial process  k-nearest neighbor rule  
Deep convolutional self-paced clustering 期刊论文
APPLIED INTELLIGENCE, 2021, 页码: 15
作者:  Chen, Rui;  Tang, Yongqiang;  Tian, Lei;  Zhang, Caixia;  Zhang, Wensheng
Adobe PDF(2029Kb)  |  收藏  |  浏览/下载：258/48  |  提交时间：2021/11/02
Deep clustering  Convolutional autoencoder  Local structure preservation  Self-paced learning  
A Deep Nonnegative Matrix Factorization Approach via Autoencoder for Nonlinear Fault Detection 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 8, 页码: 5042-5052
作者:  Ren, Zelin;  Zhang, Wensheng;  Zhang, Zhizhong
Adobe PDF(2122Kb)  |  收藏  |  浏览/下载：335/52  |  提交时间：2020/07/06
data-driven fault detection  deep autoencoder  nonlinear industrial process  nonnegative matrix factorization (NMF)