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Anomaly Detection with GRU Based Bi-autoencoder for Industrial Multimode Process

文献类型：期刊论文

作者Xu, Xinyao1,2; Qin, Fangbo1,2; Zhao, Wenjun3; Xu, De1,2; Wang, Xingang1,2; Yang, Xihao3
刊名INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
出版日期2022-04-29
页码14
关键词Anomaly detection autoencoder gated recurrent unit multimode process
ISSN号1598-6446
DOI10.1007/s12555-021-0323-6
通讯作者Xu, Xinyao(xuxinyao2018@ia.ac.cn)
英文摘要The anomaly detection for multimode industrial process is a challenging problem, because the multiple operation modes present various main distributions of monitored variables, and the dynamic sequential characteristics exist within each operation mode. This paper proposes an anomaly detection method based on sequence-to-sequence gated recurrent units (SGRU). First, to better model both the cross-mode trends and mode-specific sequential characteristics, a main reconstruction module and residual reconstruction module are integrated to improve the ability to represent complex process. Both modules are implemented by SGRUs. Second, a reconstruction error prediction module is designed to estimate the mean values of mode-specific reconstruction errors, which helps to determine the more reliable alarm thresholds. Third, the two anomaly indicators are utilized to represent the deviation degree of monitored variables against the normal conditions, according to the statistical errors and biases of reconstructions, respectively. The effectiveness of the proposed method is validated on simulations with multimode process, and on the practical data set collected from the Cleaning-in-Place multimode process of an aseptic beverage filling line in a real factory.
WOS关键词MULTIPLE OPERATING MODES ; FAULT-DETECTION ; NETWORK ; PCA
资助项目National Key R&D Program of China[2018YFD0400902] ; State Key Laboratory of Smart Manufacturing for Special Vehicles and Transmission System[GZ2019KF008]
WOS研究方向Automation & Control Systems
语种英语
WOS记录号WOS:000788953900005
出版者INST CONTROL ROBOTICS & SYSTEMS, KOREAN INST ELECTRICAL ENGINEERS
资助机构National Key R&D Program of China ; State Key Laboratory of Smart Manufacturing for Special Vehicles and Transmission System
源URL[http://ir.ia.ac.cn/handle/173211/48425]  
专题精密感知与控制研究中心_精密感知与控制
通讯作者Xu, Xinyao
作者单位1.Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Res Ctr Precis Sensing & Control, Inst Automat, Beijing 100190, Peoples R China
3.State Key Lab Smart Mfg Special Vehicles & Transm, Baotou City 014000, Inner Mongolia, Peoples R China
推荐引用方式
GB/T 7714		 Xu, Xinyao,Qin, Fangbo,Zhao, Wenjun,et al. Anomaly Detection with GRU Based Bi-autoencoder for Industrial Multimode Process[J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS,2022:14.
APA Xu, Xinyao,Qin, Fangbo,Zhao, Wenjun,Xu, De,Wang, Xingang,&Yang, Xihao.(2022).Anomaly Detection with GRU Based Bi-autoencoder for Industrial Multimode Process.INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS,14.
MLA Xu, Xinyao,et al."Anomaly Detection with GRU Based Bi-autoencoder for Industrial Multimode Process".INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS (2022):14.

入库方式： OAI收割

来源：自动化研究所

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