Industrial Process Fault Detection Based on Entropy Score Contribution Analysis
文献类型：期刊论文
| 作者 | Li, Fei2,3,4,5; Liu, Xiaoqiang3; Shang, Liangliang6; Wang, Guozhu1; Pan, Ziwei2; Sun, Yining5
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| 刊名 | IEEE ACCESS
 |
| 出版日期 | 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 |
| WOS记录号 | WOS:000886308200001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 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.Henan Inst Technol, Dept Automatic Control, Xinxiang 453003, Henan, 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.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, Anhui, Peoples R China 6.Nantong Univ, Sch Elect Engn, Nantong 226019, Jiangsu, 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). |
入库方式： OAI收割
来源：合肥物质科学研究院
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