Towards Data-Driven Fault Diagnostics Framework for SMPS-AEC Using Supervised Learning Algorithms

Towards Data-Driven Fault Diagnostics Framework for SMPS-AEC Using Supervised Learning Algorithms

The service life of aluminium electrolytic capacitors is becoming a critical design factor in power supplies. Despite rising power density demands, electrolytic capacitors and switching devices are the two most common parts of the power supply that age (deteriorate) under normal and diverse working...

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Bibliographic Details
Main Authors: Akeem Bayo Kareem, Jang-Wook Hur
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Electronics
Subjects:
aluminum electrolytic capacitor
condition monitoring
fault diagnosis
LCR meter
supervised learning algorithms
switched mode power supply
Online Access:https://www.mdpi.com/2079-9292/11/16/2492

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https://www.mdpi.com/2079-9292/11/16/2492

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