An ESPRIT-SAA-Based Detection Method for Broken Rotor Bar Fault in Induction Motors

Author:

Xu Boqiang,Sun Liling,Xu Lie,Xu Guoyi

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Cited by 35 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 rotor open-phase imbalance protection for variable speed pumped storage unit based on rotation transformation fault component ratio;International Journal of Electrical Power & Energy Systems;2024-09

2. Broken Rotor Bars Detection in Inverter-Fed Induction Motors Under Continuous Switching of Different Speed Modes;IEEE Transactions on Industrial Electronics;2024-01

3. A Convolutional Neural Network Model-Based Approach for Multi-Fault Diagnosis of Asynchronous Motors;2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia);2023-07-07

4. Broken-bar Fault Detection by Injecting a Frequency Modulated Continuous Wave Signal;2023 IEEE International Electric Machines & Drives Conference (IEMDC);2023-05-15

5. Sparse Bayesian Learning Approach for Broken Rotor Bar Fault Diagnosis;IEEE Transactions on Instrumentation and Measurement;2023

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