中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Locally Linear Back-propagation Based Contribution for Nonlinear Process Fault Diagnosis

文献类型:期刊论文

作者Jinchuan Qian; Li Jiang; Zhihuan Song
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2020
卷号7期号:3页码:764-775
关键词Auto-encoder (AE) deep learning fault diagnosis locally linear model nonlinear process reconstruction based contribution (RBC)
ISSN号2329-9266
DOI10.1109/JAS.2020.1003147
英文摘要This paper proposes a novel locally linear back-propagation based contribution (LLBBC) for nonlinear process fault diagnosis. As a method based on the deep learning model of auto-encoder (AE), LLBBC can deal with the fault diagnosis problem through extracting nonlinear features. When the on-line fault diagnosis task is in progress, a locally linear model is firstly built at the current fault sample. According to the basic idea of reconstruction based contribution (RBC), the propagation of fault information is described by using back-propagation (BP) algorithm. Then, a contribution index is established to measure the correlation between the variable and the fault, and the final diagnosis result is obtained by searching variables with large contributions. The smearing effect, which is an important factor affecting the performance of fault diagnosis, can be suppressed as well, and the theoretical analysis reveals that the correct diagnosis can be guaranteed by LLBBC. Finally, the feasibility and effectiveness of the proposed method are verified through a nonlinear numerical example and the Tennessee Eastman benchmark process.
源URL[http://ir.ia.ac.cn/handle/173211/42987]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
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GB/T 7714
Jinchuan Qian,Li Jiang,Zhihuan Song. Locally Linear Back-propagation Based Contribution for Nonlinear Process Fault Diagnosis[J]. IEEE/CAA Journal of Automatica Sinica,2020,7(3):764-775.
APA Jinchuan Qian,Li Jiang,&Zhihuan Song.(2020).Locally Linear Back-propagation Based Contribution for Nonlinear Process Fault Diagnosis.IEEE/CAA Journal of Automatica Sinica,7(3),764-775.
MLA Jinchuan Qian,et al."Locally Linear Back-propagation Based Contribution for Nonlinear Process Fault Diagnosis".IEEE/CAA Journal of Automatica Sinica 7.3(2020):764-775.

入库方式: OAI收割

来源:自动化研究所

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