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数据驱动的工业过程故障检测与隔离方法研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  任泽林
Adobe PDF(4468Kb)  |  Favorite  |  View/Download：125/6  |  Submit date：2022/06/13
数据驱动  非线性工业过程  故障检测  故障隔离  质量相关  
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
Authors:  Ren, Zelin;  Tang, Yongqiang;  Zhang, Wensheng
Adobe PDF(1256Kb)  |  Favorite  |  View/Download：98/5  |  Submit date：2021/12/28
fault detection  fault diagnosis  quality-related  non-linear industrial process  k-nearest neighbor rule  
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
Authors:  Ren, Zelin;  Zhang, Wensheng;  Zhang, Zhizhong
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data-driven fault detection  deep autoencoder  nonlinear industrial process  nonnegative matrix factorization (NMF)