Deep Learning for Fault Diagnostics in Bearings, Insulators, PV Panels, Power Lines, and Electric Vehicle Applications—The State-of-the-Art Approaches

Deep Learning for Fault Diagnostics in Bearings, Insulators, PV Panels, Power Lines, and Electric Vehicle Applications—The State-of-the-Art Approaches

Deep learning (DL) is an exciting field of interest for many researchers and business. Due to a massive leap in DL based research, many domains like Business, science and government sectors make use of DL for various applications. This work puts forward the importance of DL and its application in a...

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Bibliographic Details
Main Authors: K. Mohana Sundaram, Azham Hussain, P. Sanjeevikumar, Jens Bo Holm-Nielsen, Vishnu Kumar Kaliappan, B. Kavya Santhoshi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Artificial intelligence (AI)
deep learning (DL)
machine learning (ML)
power distribution faults
power system faults
fault diagnosis
Online Access:https://ieeexplore.ieee.org/document/9371691/

Internet

https://ieeexplore.ieee.org/document/9371691/

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