Neural Network-Enabled Condition Monitoring of DC-Link Capacitors in Three-Phase Inverters
Konferenz: PCIM Conference 2025 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
06.05.2025-08.05.2025 in Nürnberg, Germany
doi:10.30420/566541025
Tagungsband: PCIM Conference 2025
Seiten: 7Sprache: EnglischTyp: PDF
Autoren:
Fassi, Youssof; Zhao, Shuai; Wei, Xing; Heiries, Vincent; Boutet, Jerome; Boisseau, Sebastien; Wang, Huai
Inhalt:
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.