Synthesized fault diagnosis method reasoned from rough set‐neural network and evidence theory-Reference-Cited by-同舟云学术

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Synthesized fault diagnosis method reasoned from rough set‐neural network and evidence theory

Published:2018-10-15 Issue:9 Volume:31 Page:e4944
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Yang Guang¹^ORCID,Yu Shuofeng²

Affiliation:

1. School of Entrepreneurship and InnovationShenzhen Polytechnic Shenzhen China

2. School of Applied Foreign LanguagesShenzhen Polytechnic Shenzhen China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.4944

Reference18 articles.

1. Practical expert system for transformer fault diagnosis based on multi‐dimensional information fusion technology;Xu Y;Electr Power,2017

2. Synthetic intelligence based fault diagnosis of Analog circuits;Peng M‐F;Proc CSEE,2006

3. Research on information fusion for sensors multiple fault diagnosis;Zhang J;Proc CSEE,2007

4. Track circuit fault diagnosis based BP neural network;Cao Y‐M;J North China Univ Sci Technol,2017

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