Research on Fault Diagnosis Method Based on Rule Base Neural Network
Joint Authors
Zhang, Lin
Wang, Wen-feng
Ni, Zheng
Bo, Zhang
Yongjin, Liu
Dajiang, Zhang
Source
Journal of Control Science and Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-12
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
The relationship between fault phenomenon and fault cause is always nonlinear, which influences the accuracy of fault location.
And neural network is effective in dealing with nonlinear problem.
In order to improve the efficiency of uncertain fault diagnosis based on neural network, a neural network fault diagnosis method based on rule base is put forward.
At first, the structure of BP neural network is built and the learning rule is given.
Then, the rule base is built by fuzzy theory.
An improved fuzzy neural construction model is designed, in which the calculated methods of node function and membership function are also given.
Simulation results confirm the effectiveness of this method.
American Psychological Association (APA)
Ni, Zheng& Zhang, Lin& Wang, Wen-feng& Bo, Zhang& Yongjin, Liu& Dajiang, Zhang. 2017. Research on Fault Diagnosis Method Based on Rule Base Neural Network. Journal of Control Science and Engineering،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1173555
Modern Language Association (MLA)
Ni, Zheng…[et al.]. Research on Fault Diagnosis Method Based on Rule Base Neural Network. Journal of Control Science and Engineering No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1173555
American Medical Association (AMA)
Ni, Zheng& Zhang, Lin& Wang, Wen-feng& Bo, Zhang& Yongjin, Liu& Dajiang, Zhang. Research on Fault Diagnosis Method Based on Rule Base Neural Network. Journal of Control Science and Engineering. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1173555
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1173555