Inter-Turn Short Circuit Fault Detection of PMSM Based on Wavelet Packet Energy Spectrum and CEEMDAN-HT
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42835-023-01597-7.pdf
Reference34 articles.
1. Peng T, Ye C, Yang C, Chen Z, Liang K, Fan X (2022) A novel fault diagnosis method for early faults of PMSMs under multiple operating conditions. ISA Trans 130:463–476
2. Cai B, Hao K, Wang Z, Yang C, Kong X, Liu Z, Ji R, Liu R (2021) Data-driven early fault diagnostic methodology of permanent magnet synchronous motor. Expert Syst Appl 177, Art. no. 115000.
3. Tong W, Dai S, Wu S, Tang R (2019) Performance Comparison Between an Amorphous Metal PMSM and a Silicon Steel PMSM. IEEE Trans Magnet 55(6):1–5, Art no. 8102705.
4. Qi Y, Zafarani M, Gurusamy V, Akin B (2019) Advanced severity monitoring of interturn short circuit faults in PMSMs. IEEE Trans Transportation Electrification 5(2):395–404.
5. Li Y, Wang Y, Zhang Y, Zhang J (2021) Diagnosis of inter-turn short circuit of permanent magnet synchronous motor based on deep learning and small fault samples. Neurocomputing 442(28):348–358
Cited by 2 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. Application of AdaBoost for stator fault diagnosis in three-phase permanent magnet synchronous motors based on vibration–current data fusion analysis;Electrical Engineering;2024-02-02
2. Adaptive Parameter Selection Variational Mode Decomposition Based on Bayesian Optimization and Its Application to the Detection of ITSC in PMSM;IEEE Access;2024
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