Adaptation of a Real-Time Deep Learning Approach With an Analog Fault Detection Technique for Reliability Forecasting of Capacitor Banks Used in Mobile Vehicles

Adaptation of a Real-Time Deep Learning Approach With an Analog Fault Detection Technique for Reliability Forecasting of Capacitor Banks Used in Mobile Vehicles

The DC-Link capacitor is defined as the essential electronics element which sources or sinks the respective currents. The reliability of DC-link capacitor-banks (CBs) encounters many challenges due to their usage in electric vehicles. Heavy shocks may damage the internal capacitors without shutting...

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Bibliographic Details
Main Authors: Mohammad A. Rezaei, Arman Fathollahi, Sajad Rezaei, Jiefeng Hu, Meysam Gheisarnejad, Ali Reza Teimouri, Rituraj Rituraj, Amir H. Mosavi, Mohammad-Hassan Khooban
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Capacitor-bank
deep learning
power system reliability
artificial intelligence (AI)
machine learning
electronics
Online Access:https://ieeexplore.ieee.org/document/9982604/

Internet

https://ieeexplore.ieee.org/document/9982604/

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