Author:
Shankar C. Udhaya,Devi N. Nithya
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Reference20 articles.
1. Parimalasundar, E., Kumar, R. S., Chandrika, V. S., & Suresh, K. (2023). Fault diagnosis in a five-level multilevel inverter using an artificial neural network approach. Electrical Engineering & Electromechanics, 1, 31–39.
2. Mhiesan, H., Wei, Y., Siwakoti, Y. P., & Mantooth, H. A. (2020). A fault-tolerant hybrid cascaded H-bridge multilevel inverter. IEEE Transactions on Power Electronics, 35(12), 12702–12715.
3. Priya, A. S., Kalaiarasi, N., Vishnuram, P., Abou Houran, M., Bajaj, M., Pushkarna, M., & Kamel, S. (2023). Real-time hardware-in-loop based open circuit fault diagnosis and fault tolerant control approach for cascaded multilevel inverter using artificial neural network. Frontiers in Energy Research, 10, 1979.
4. Raziq, H., Batool, M., Riaz, S., Afzal, F., Akgül, A., & Riaz, M. B. (2023). Power quality improvement of a distribution system integrating a large scale solar farm using hybrid modular multilevel converter with ZSV control. Ain Shams Engineering Journal, 14(7), 102218.
5. Jami, R., Nakka, J., & Pulavarthi, S. V. K. (2022). Grid integration of three phase solar powered fault-tolerant cascaded H-bridge inverter. International Journal of Circuit Theory and Applications, 50(7), 2566–2583.