Industrial Process Fault Detection Based on Entropy Score Contribution Analysis

doi:10.1109/ACCESS.2022.3218899

	Industrial Process Fault Detection Based on Entropy Score Contribution Analysis
	Li, Fei 1,2,3,4; Liu, Xiaoqiang 3; Shang, Liangliang 5; Wang, Guozhu 6; Pan, Ziwei 2; Sun, Yining 1
刊名	IEEE ACCESS
	2022
卷号	10
关键词	Euclidean distance entropy score contribution fault detection false alarm rate fault detection rate
ISSN号	2169-3536
DOI	10.1109/ACCESS.2022.3218899
通讯作者	Li, Fei(lifei41@ahut.edu.cn)
英文摘要	Aiming at the problem of poor fault detection ability in complex industrial processes, this paper proposes a fault detection method of entropy score contribution analysis, which can better determine the number of samples with a high contribution rate and achieve good fault detection results. First, normalize the input data to obtain the Euclidean distance of each line vector; Secondly, the number of samples with a high contribution rate is determined by entropy score contribution and determine the initial threshold; Thirdly, a parameter adaptive strategy is proposed to set the threshold of statistics; Finally, fault detection is carried out on the statistical data, and the size of fault detection rate and false alarm rate is calculated. In the fourth part of this paper, we use this fault detection method to detect the faults from the Tennessee Eastman process. The simulation results show that the method proposed has more advantages than the traditional methods, and can be effectively applied to complex industrial processes.
WOS关键词	COMPONENT ANALYSIS ; DIAGNOSIS ; PCA
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000886308200001
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/131637]
专题	中国科学院合肥物质科学研究院
通讯作者	Li, Fei
作者单位	1.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, Anhui, Peoples R China 2.Manshan Univ, Postdoctoral Sci Res Workstat, Maanshan 243100, Anhui, Peoples R China 3.Anhui Univ Technol, Sch Elect & Informat Engn, Maanshan 243032, Anhui, Peoples R China 4.Anhui Univ Technol, Anhui Prov Key Lab Special Heavy Load Robot, Maanshan 243032, Anhui, Peoples R China 5.Nantong Univ, Sch Elect Engn, Nantong 226019, Jiangsu, Peoples R China 6.Henan Inst Technol, Dept Automatic Control, Xinxiang 453003, Henan, Peoples R China
推荐引用方式 GB/T 7714	Li, Fei,Liu, Xiaoqiang,Shang, Liangliang,et al. Industrial Process Fault Detection Based on Entropy Score Contribution Analysis[J]. IEEE ACCESS,2022,10.
APA	Li, Fei,Liu, Xiaoqiang,Shang, Liangliang,Wang, Guozhu,Pan, Ziwei,&Sun, Yining.(2022).Industrial Process Fault Detection Based on Entropy Score Contribution Analysis.IEEE ACCESS,10.
MLA	Li, Fei,et al."Industrial Process Fault Detection Based on Entropy Score Contribution Analysis".IEEE ACCESS 10(2022).