NDLI: Data-driven diagnosing for unanticipated fault by a general process model

Content Provider	IEEE Xplore Digital Library
Author	Jiongqi Wang Dayi Wang Zhangming He Haiyin Zhou
Copyright Year	2013
Description	Author affiliation: Beijing Inst. of Control Eng., China Acad. of Space Technol., Beijing, China (Dayi Wang) \|\| State Key Lab. of Astronaut. Dynamics, Xi'an, China (Haiyin Zhou) \|\| Dept. of Math. & Syst. Sci., Nat. Univ. of Defense Technol., Changsha, China (Jiongqi Wang; Zhangming He)
Abstract	The improvement of unanticipated fault detection and diagnosis (UFDD) capability is a difficult point, and is also a tendency for research and application. In this paper, a general process model (GPM) for unanticipated fault diagnosis is established. And combined with the characteristics of monitoring data, the corresponding diagnosis methods are researched. The model and the methods are used for online unanticipated fault detection, isolation and recognition. The GPM for the unanticipated fault diagnosis is designed, by adopting a three-layer progressive structure, which is comprised of an inherent detection layer (IDL), an unanticipated isolation layer (UIL) and an unanticipated recognition layer (URL). Several key problems in the GPM are analyzed, including the establishment and evaluation of detection statistics, the extraction of fault feature direction, and the design of fault isolation criterion and the calculation of contribution factor. The proposed model and methods are driven by pure data and they can detect and diagnose the unanticipated fault. The proposed approach is evaluated by using an example of a satellite's attitude control system, and excellent results have been obtained.
Sponsorship	IEEE Syst., Man, Cybern. Soc.
Starting Page	459
Ending Page	464
File Size	367594
Page Count	6
File Format	PDF
e-ISBN	9781479903337
DOI	10.1109/CAC.2013.6775778
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Attitude control Fault detection Detection and diagnosis Data models System identification Unanticipated fault Mathematical model Monitoring Data-driven design Testing General process model
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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