NDLI: Study on Fault Diagnosis Based on the Qualitative / Quantitative Model of SDG and Genetic Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Yong-Guang Ma Jian-Qiang Gao Liang-Yu Ma Qin Yan Peng Tong
Copyright Year	2006
Description	Author affiliation: North China Electr. Power Univ., Baoding (Yong-Guang Ma; Jian-Qiang Gao; Liang-Yu Ma; Qin Yan)
Abstract	In term of multivariate operating conditions, complex dynamic performance and steady qualitative logic relation between variables in power plant thermal process, signed directed graph (SDG) is introduced to apply in fault diagnosis of power plant thermal system. SDG is a self-contained method to effectively diagnosis system failures, which can be constructed effectively by using the grading modeling method aided by simulation technology, but intrinsic limitations restrict it applies in fault diagnosis. Considering the relation among node of SDG can be effective described by constructing a qualitative and quantitative model; PCA that can monitor the correlation among different variables in the system and overcome the shortcoming of single variable analysis in determining the faulty node possibility, the genetic algorithm can be used to search possible fault propagation path quickly, a intelligent fault diagnosis approach is studied in thermal system field. The case studies show the qualitative and quantitative model of SDG has better resolution in fault diagnosis of power plant
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	2053
Ending Page	2058
File Size	218445
Page Count	6
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258342
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Genetic algorithms Principal component analysis Power generation Power system modeling Logic Algorithm design and analysis Educational institutions Condition monitoring Power system economics Qualitative and Quantitative Model Thermal System SDG PCA
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in