Neural Network-Enabled Condition Monitoring of DC-Link Capacitors in Three-Phase Inverters
Conference: PCIM Conference 2025 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
05/06/2025 - 05/08/2025 at Nürnberg, Germany
doi:10.30420/566541025
Proceedings: PCIM Conference 2025
Pages: Language: englishTyp: PDF
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Authors:
Fassi, Youssof; Zhao, Shuai; Wei, Xing; Heiries, Vincent; Boutet, Jerome; Boisseau, Sebastien; Wang, Huai
Abstract:
This work addresses condition monitoring of DC-link capacitors in three-phase inverters to ensure motor drive reliability. A neural network model is trained based on the DC-Link capacitor voltage data during a discharging operation mode, minimizing extra hardware needs. Experimental results on diverse operating conditions achieved 98% of accuracy, with 100% positive predictive value and 95% sensitivity, demonstrating robust classification and diagnostics across varying unseen operating conditions.