NDLI: Multi-mode data-based joint fault detection method

Content Provider	IEEE Xplore Digital Library
Author	Jing Hu Chenglin Wen Ping Li
Copyright Year	2014
Description	Author affiliation: Coll. of Electr. Eng., Henan Univ. of Technol., Zhengzhou, China (Chenglin Wen) \|\| Dept. of Control Sci. & Control Eng., Zhejiang Univ., Hangzhou, China (Jing Hu; Ping Li)
Abstract	Fault detection for multi-mode process are becoming a hotspot. By effective mode division and accurate online identification, a multi-mode hybrid data set can be transformed into multiple single-mode data sets, then the traditional PCA-based approach can still be adopt to process monitoring. However, in the treatment of “fast response” multi-mode procedure, the above idea does not seem to apply, which is mainly due to: 1) the characteristics of the realtime measurements are needed to be similarity or dissimilarity measured with the known characteristics of all modes, which produces large computational cost, further usually appears online data can not be matched with the monitoring model timely, and finally leads to higher false alarm and missing detection; 2) especially when the running cycle of a single mode is short with less data, and the mode is frequency switched, the situation will be much worse. To this end, aiming at the switching frequently multi-mode, the joint multi-mode hybrid data are used to build a unified model for the case that modes unable to be identified effectively. Meanwhile, the generalized eigenvalues and generalized eigenvectors are defined, and a trade-off fault detection approach is established based on the unified model. Simulation results demonstrate the effectiveness of the new method, which can avoid the monitoring model unapplicable. Moreover, it is real-time and practical.
Starting Page	2869
Ending Page	2874
File Size	317508
Page Count	6
File Format	PDF
ISBN	9781479937073
e-ISBN	9781479937080
DOI	10.1109/CCDC.2014.6852662
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Unified Model Fault Detection Fault detection Switches Data models Eigenvalues and eigenfunctions Joints Monitoring Multi-mode Principal component analysis PCA
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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