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Intelligent Fault Inference of Inverters Based on a Three-Layer Bayesian Network
Joint Authors
Han, Sumin
He, Yongsheng
Zheng, Shuqing
Wang, Fuzhong
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-16
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
A three-layer Bayesian intelligent fault inference model (BIFIM) for an inverter is established to infer the probable uncertain faults.
The topological structure of the BIFIM includes the inverter’s operation conditions for the first layer, the inverter’s faults for the second layer, and the fault symptoms for the third layer, which combines the field technicians’ knowledge and experiences with historical running data.
The prior probability table of the root node is acquired by the method of basic probabilities corrected historical operation data.
The conditional probability parameter table of the BIFIM is obtained by the improved maximum expectation algorithm.
Four kinds of incomplete evidence were reasoned and verified, including simple evidence with obvious support, incomplete evidence information, complex evidence without obvious support, and evidence with information conflict.
The proposed strategy can make use of the available evidences to inference the probabilities of faults, indicating different reasoning abilities under the different degree of completeness of evidence, especially demonstrating the same inference result under some incomplete evidence information as under complete evidence information.
American Psychological Association (APA)
Han, Sumin& He, Yongsheng& Zheng, Shuqing& Wang, Fuzhong. 2019. Intelligent Fault Inference of Inverters Based on a Three-Layer Bayesian Network. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1195222
Modern Language Association (MLA)
Han, Sumin…[et al.]. Intelligent Fault Inference of Inverters Based on a Three-Layer Bayesian Network. Mathematical Problems in Engineering No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1195222
American Medical Association (AMA)
Han, Sumin& He, Yongsheng& Zheng, Shuqing& Wang, Fuzhong. Intelligent Fault Inference of Inverters Based on a Three-Layer Bayesian Network. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1195222
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1195222