Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Paolo Magnone"'
Publikováno v:
IEEE Open Journal of Power Electronics, Vol 4, Pp 978-986 (2023)
This work proposes a deep learning-based model for predicting the lifetime of power devices subjected to power cycling. To this purpose, a neural network based on bidirectional long short-term memory is adopted. The neural network is trained with exp
Externí odkaz:
https://doaj.org/article/e61f5ea39fbc47aab97811c0f7b34ec5
Autor:
Alessandro Vaccaro, Paolo Magnone
Publikováno v:
IEEE Transactions on Power Electronics. 38:6545-6554
Publikováno v:
IEEE Transactions on Electron Devices. 69:3820-3825
Publikováno v:
IEEE Journal of Emerging and Selected Topics in Power Electronics. 10:704-716
Publikováno v:
2023 IEEE Applied Power Electronics Conference and Exposition (APEC).
Publikováno v:
IEEE Transactions on Industrial Electronics
Droop-controlled distributed energy resource converters in dc microgrids usually show low output impedances. When coupled with ac systems, second-order harmonics typically appear on the dc-bus voltage, causing significant harmonic currents at the con
Autor:
Alessandro Vaccaro, Paolo Magnone
Publikováno v:
2022 IEEE Applied Power Electronics Conference and Exposition (APEC).
Publikováno v:
IEEE Transactions on Power Electronics. 34:4794-4806
An online approach to evaluate and monitor the stability margins of dc microgrid power converters is presented in this paper. The discussed online stability monitoring technique is based on the Middlebrook's loop-gain measurement technique, adapted t
Autor:
Massimo Vatalaro, Raffaele De Rose, Marco Lanuzza, Paolo Magnone, Silvia Conti, Giuseppe Iannaccone, Felice Crupi
Publikováno v:
Solid-State Electronics. 194:108391