Fault Detection of NPC Inverter Based on Ensemble Machine Learning Methods
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42835-023-01740-4.pdf
Reference21 articles.
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2. Mu K, Fei C, Hu X, Xu H (2022) Dual input step-up inverter with low leakage current for PV generation applications. J Power Electron 22(12):1991–2003
3. Li F, He J, Luo P, Jiang H, Liu M (2023) Quadratic-type high step-up DC–DC converter with continuous input current integrating coupled inductor and voltage multiplier for renewable energy applications. J Power Electron 23(4):555–567. https://doi.org/10.1007/s43236-022-00564-1
4. Hakami S, Lee K-B (2020) Four-level hysteresis-based DTC for torque capability improvement of IPMSM fed by three-level NPC inverter. Electronics 9(10):1558
5. Alkaf HAG, Halabi LM, Lee KB (2023) A generalized integrated MPC-fuzzy-neural network approach for multilevel inverter fed PMSMs. IEEE Trans Ind Inform. https://doi.org/10.1109/TII.2023.3297662
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1. Suppression of Harmonics in a Novel Multilevel Inverter Using Multi-Carrier Based PWM Technique;Journal of Electrical Engineering & Technology;2024-04-12
2. Advanced Fault Diagnosis in Power Electronics: Switch Open Faults in DC-Link Shunt Sensor-Less Drives;Journal of Electrical Engineering & Technology;2024-03-27
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