Fault Detection and Isolation of Non-Gaussian and Nonlinear Processes Based on Statistics Pattern Analysis and the <i>k</i>-Nearest Neighbor Method-Reference-Cited by-同舟云学术

Fault Detection and Isolation of Non-Gaussian and Nonlinear Processes Based on Statistics Pattern Analysis and the k-Nearest Neighbor Method

Author:

Zhou Zhe¹^ORCID,Wang Jian¹,Yang Chunjie²,Wen Chenglin³,Li Zuxin⁴^ORCID

Affiliation:

1. School of Engineering, Huzhou University, Huzhou 313000, China

2. State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China

3. School of Automation, Guangdong University of Petrochemical Technology, Maoming 525000, China

4. School of Science and Engineering, Huzhou College, Huzhou 313000, China

Funder

National Natural Science Foundation of China

Zhejiang Provincial Public Welfare Technology Application Research Project

Postgraduate Scientific Research and Innovation Projects of Huzhou University

Natural Science Foundation of Huzhou Municipality

Open Research Project of the State Key Laboratory of Industrial Control Technology, Zhejiang University, China

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

Reference44 articles.

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