Fault Detection of Pneumatic Control Valves based on Canonical Variate Analysis | |
Han XJ(韩晓佳)1,2,4,5; Jiang, Jing; Xu AD(徐皑冬)1,4,5; Huang, Xinhong; Pei C(裴超)1,2,4,5; Sun Y(孙越)1,2,4,5 | |
刊名 | IEEE Sensors Journal |
2021 | |
卷号 | 21期号:12页码:13603-13615 |
关键词 | Pneumatic control valve fault detection canonical variate analysis detection indicator square of the Mahalanobis distance (SMD) DAMADICS |
ISSN号 | 1530-437X |
产权排序 | 1 |
英文摘要 | This paper deals with the fault detection of a pneumatic control valve using canonical variate analysis (CVA). CVA can find the optimal linear combinations of p-window and f-window data, so that the correlation between these combinations can be maximized. Based on CVA, the p-window data is considered by traditional hotelling T2 statistic and squared prediction error (SPE) indicators, the corresponding fault detection rates (FDR) are low. In order to improve the FDR, a detection indicator based on SMD (square of the Mahalanobis distance) of the residual is proposed in this paper. The proposed indicator considers not only the information in the p-window data, but also that of the f-window data, which can improve the FDRs. The proposed techniques have been validated using a Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems (DAMADICS) benchmark. It concludes that 14 out of the 19 faults can be successfully detected using the proposed method (CVA-SMD). Simulation results have shown that the CVA-SMD can improve the FDR compared with existing CVA-T2 and CVA-SPE methods. Experiments based on real-world data have also demonstrated that the CVA-SMD has better performance than existing PCA-T2, PCA-SPE, PCA-SMD, CVA-T2 and CVA-SPE methods. IEEE |
语种 | 英语 |
WOS记录号 | WOS:000664030600065 |
资助机构 | UCAS Joint PhD Training Program ; Research and Application of Key Technologies of Robot Digital Workshop Intelligent Manufacturing Based on Industrial Internet of Things andInformation Physics Integration (No. 2017YFE0123000) |
内容类型 | 期刊论文 |
源URL | [http://ir.sia.cn/handle/173321/28739] |
专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
通讯作者 | Xu AD(徐皑冬) |
作者单位 | 1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, 110169 China 2.University of Chinese Academy of Sciences, Beijing 100049, China 3.Western University, London, Ontario, N6A 5B9 Canada 4.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, 110016 China 5.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016 China |
推荐引用方式 GB/T 7714 | Han XJ,Jiang, Jing,Xu AD,et al. Fault Detection of Pneumatic Control Valves based on Canonical Variate Analysis[J]. IEEE Sensors Journal,2021,21(12):13603-13615. |
APA | Han XJ,Jiang, Jing,Xu AD,Huang, Xinhong,Pei C,&Sun Y.(2021).Fault Detection of Pneumatic Control Valves based on Canonical Variate Analysis.IEEE Sensors Journal,21(12),13603-13615. |
MLA | Han XJ,et al."Fault Detection of Pneumatic Control Valves based on Canonical Variate Analysis".IEEE Sensors Journal 21.12(2021):13603-13615. |
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