NDLI: PPN: A probabilistic model for fault detection and diagnosis

Content Provider	IEEE Xplore Digital Library
Author	Wei She Yangdong Ye
Copyright Year	2012
Description	Author affiliation: School of Information Engineering, Zhengzhou University, China (Wei She; Yangdong Ye)
Abstract	To analyze the composite fault in Discrete Event System (DES), a Probabilistic Petri net (PPN) and a fault diagnosis method for power system are proposed. Firstly, the PPN models are established on every fault spread direction. Secondly, the failed component is determined by the application of Petri net reasoning and probabilistic calculation. At last, the result is given by fusing all parties' results using mean method. Diagnosis analysis shows that the method can adapt to topology changes and obtain satisfying diagnosis results with incomplete information. In the PPN reasoning, calculating the fault probability of component is based on the prior probability from statistics, so the subjectivity of setting related parameters can be avoided.
Starting Page	1006
Ending Page	1011
File Size	358538
Page Count	6
File Format	PDF
ISBN	9781467351171
ISSN	21647143
e-ISBN	9781467351195
DOI	10.1109/ISDA.2012.6416676
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-27
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Adaptation models fault diagnosis fault tolerance Bayesian methods Petri nets power system Probabilistic logic Cognition probabilistic Petri nets discrete event system
Content Type	Text
Resource Type	Article

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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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