Detection of Stator Fault in Synchronous Reluctance Machines Using Shallow Neural Networks-Reference-Cited by-同舟云学术

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Detection of Stator Fault in Synchronous Reluctance Machines Using Shallow Neural Networks

Published:2021-10-10 Issue: Volume: Page:
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Container-title:2021 IEEE Energy Conversion Congress and Exposition (ECCE)
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Author:

Narayan Siwan,Kumar Rahul R,Cirrincione Giansalvo,Cirrincione Maurizio

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9594898/9594919/09595518.pdf?arnumber=9595518

Cited by 5 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. Analysis of Reluctance Synchronous Motor Under Hybrid Fault Condition;2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2023-09-24

2. Stator Inter-Turn Fault Severity Classification Using Neural Based Approaches;2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET);2023-04-29

3. A Comparative Study for the Detection of Stator Inter-Turn Faults in Induction Motors Using Shallow Neural Networks and Non-Neural Based Techniques;2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET);2023-04-29

4. Open Circuit (OC) and Short Circuit (SC) IGBT Switch Fault Detection in Three-Phase Standalone Photovoltaic Inverters Using Shallow Neural Networks;2022 25th International Conference on Electrical Machines and Systems (ICEMS);2022-11-29

5. Inter-Turn Short-Circuit Fault Detection in Synchronous Reluctance Machines, Based on Current Analysis;IECMA 2022;2022-09-15

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