NDLI: Research of probability Petri nets model for fault diagnosis based on Bayesian theorem

Content Provider	IEEE Xplore Digital Library
Author	Xi-Lin Zhao Jian-Zhong Zhou Bo Fu Hui Liu
Copyright Year	2008
Description	Author affiliation: Dept. of Hydropower & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan (Xi-Lin Zhao; Jian-Zhong Zhou)
Abstract	In order to eliminate the influence of incomplete sample data in fault diagnosis, Bayesian theorem is used for the design of Petri nets diagnostic model. Firstly, the concept about probability Petri net is defined. It can calculate the occurred probability of the absent datum based on Bayesian theorem from the detected attributes. Secondly, for the complicated Petri nets will induce the combinatorial states expand quickly; the design of probability Petri nets is based on reduced sample set to abate the complexity of the model. In order to create the logical relation between condition attributes and the faults, Skowron default rule generation method is used to obtain diagnostic rules. And for the programmable design of the model, all diagnostic rules are transformed to a series of basic rules that is defined. Finally, the diagnostic process is discussed. The probability Petri nets model can reduce the general probability of faults based on the complemental information. And the logical consequence can be calculated by incidence matrix expediently. The design is proved to be availability by an example about rotating machinery fault diagnosis.
Starting Page	6253
Ending Page	6258
File Size	114716
Page Count	6
File Format	PDF
ISBN	9781424421138
DOI	10.1109/WCICA.2008.4593870
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Petri nets Probability Firing Bayesian methods Mathematical model Fault diagnosis Equations probability fault diagnosis Bayesian theorem
Content Type	Text
Resource Type	Article

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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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