APA (7th ed.) Citation

Dou, Z., Dou, H., Ma, Y., Mao, X., Lu, F., Liu, H., & Wang, Q. (2026). A Deep Learning-Based Parametric Fault Diagnosis Method for Metallized Polypropylene Film Capacitors in MMC Submodules. IEEE Journal of Emerging and Selected Topics in Power Electronics, Emerging and Selected Topics in Power Electronics, IEEE Journal of, IEEE J. Emerg. Sel. Topics Power Electron., 14(5), 6090-6103. https://doi.org/10.1109/JESTPE.2026.3683917

Chicago Style (17th ed.) Citation

Dou, Z., H. Dou, Y. Ma, X. Mao, F. Lu, H. Liu, and Q. Wang. "A Deep Learning-Based Parametric Fault Diagnosis Method for Metallized Polypropylene Film Capacitors in MMC Submodules." IEEE Journal of Emerging and Selected Topics in Power Electronics, Emerging and Selected Topics in Power Electronics, IEEE Journal of, IEEE J. Emerg. Sel. Topics Power Electron. 14, no. 5 (2026): 6090-6103. https://doi.org/10.1109/JESTPE.2026.3683917.

MLA (9th ed.) Citation

Dou, Z., et al. "A Deep Learning-Based Parametric Fault Diagnosis Method for Metallized Polypropylene Film Capacitors in MMC Submodules." IEEE Journal of Emerging and Selected Topics in Power Electronics, Emerging and Selected Topics in Power Electronics, IEEE Journal of, IEEE J. Emerg. Sel. Topics Power Electron., vol. 14, no. 5, 2026, pp. 6090-6103, https://doi.org/10.1109/JESTPE.2026.3683917.