A Hybrid Physics-Based and Data-Driven Approach for Monitoring of Inverter-Fed Machine Stator Insulation Degradations Using Switching Oscillations-Reference-Cited by-同舟云学术

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A Hybrid Physics-Based and Data-Driven Approach for Monitoring of Inverter-Fed Machine Stator Insulation Degradations Using Switching Oscillations

Published:2024-07 Issue:7 Volume:20 Page:9527-9538
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Li Hao¹^ORCID,Yu Junjie²^ORCID,Xiang Dawei³^ORCID,Han Jialiang¹^ORCID,Wu Qi¹^ORCID

Affiliation:

1. College of Electric Power Engineering, Shanghai University of Electric Power, Shanghai, China

2. Jiangjin Power Supply Branch, State Grid Chongqing Electric Power Company, Chongqing, China

3. Department of Electrical Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Shanghai Rising-Star Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9424/10582275/10505086.pdf?arnumber=10505086

Reference33 articles.

1. Robust Inter-Turn Short-Circuit Fault Detection in PMSGs With Respect to the Bandwidths of Current and Voltage Controllers

2. Comprehensive Analysis of Principal Slot Harmonics as Reliable Indicators for Early Detection of Inter-Turn Faults in Induction Motors of Deep-Well Submersible Pumps

3. Investigation of Surge Voltage Propagation in Inverter-Driven Electric Machine Windings

4. Antiresonance Phenomenon and Peak Voltage Stress Within PWM Inverter Fed Stator Winding

5. Condition monitoring and diagnostics of motor and stator windings – A review

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