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Locally Linear Back-propagation Based Contribu-tion for Nonlinear Process Fault Diagnosis

Jinchuan Qian Li Jiang Zhihuan Song

自动化学报(英文版)2020,Vol.7Issue(3):764-775,12.
自动化学报(英文版)2020,Vol.7Issue(3):764-775,12.DOI:10.1109/JAS.2020.1003147

Locally Linear Back-propagation Based Contribu-tion for Nonlinear Process Fault Diagnosis

Locally Linear Back-propagation Based Contribu-tion for Nonlinear Process Fault Diagnosis

Jinchuan Qian 1Li Jiang 2Zhihuan Song3

作者信息

  • 1. State Key Laboratory of Industrial Control Technology,College of Control Science and Engineering,Zhejiang University,Hangzhou 310027,China
  • 2. Shanghai Research Institute of Huawei Technology Co.,Ltd,Shanghai 200127,China
  • 3. State Key Laboratory of Industrial Control Technology,College of Control Science and Engineering,Zhejiang University,Hangzhou 310027,China
  • 折叠

摘要

关键词

Auto-encoder (AE)/deep learning/fault diagnosis/locally linear model/nonlinear process/reconstruction based contri-bution (RBC)

Key words

Auto-encoder (AE)/deep learning/fault diagnosis/locally linear model/nonlinear process/reconstruction based contri-bution (RBC)

引用本文复制引用

Jinchuan Qian,Li Jiang,Zhihuan Song..Locally Linear Back-propagation Based Contribu-tion for Nonlinear Process Fault Diagnosis[J].自动化学报(英文版),2020,7(3):764-775,12.

基金项目

This work was supported by the Key Project of National Nat-ural Science Foundation of China (61933013) and Ningbo 13th Five-year Marine Economic Innovation and Development Demonstration Project (NBH Y-2017-Z1). (61933013)

自动化学报(英文版)

OACSCDCSTPCDEI

2329-9266

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