Neural networks and statistical decision making for fault diagnosis of PM linear synchronous machines-Reference-Cited by-同舟云学术

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Neural networks and statistical decision making for fault diagnosis of PM linear synchronous machines

Published:2020-08-04 Issue:12 Volume:51 Page:2150-2166
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Rigatos G.¹^ORCID,Zervos N.²,Abbaszadeh M.³,Siano P.⁴,Serpanos D.⁵,Siadimas V.⁵

Affiliation:

1. Unit of Industrial Autom., Industrial Systems Institute, Rion Patras, Greece

2. Unit of Digital Comm., Industrial Systems Institute, Rion Patras, Greece

3. GE Global Research, General Electric Co., Niskayuna, NY, USA

4. Dept. of Innov. Syst, University of Salerno, Fisciano, Italy

5. Dept. of Electrical Eng., University of Patras, Rion Patras, Greece

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2020.1792579

Reference43 articles.

1. The asymptotic local approach to change detection and model validation

2. Severity Estimation of Interturn Short Circuit Fault for PMSM

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A fuzzy neural network-based automatic fault diagnosis method for permanent magnet synchronous generators;Mathematical Biosciences and Engineering;2023

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