ResFaultyMan: An intelligent fault detection predictive model in power electronics systems using unsupervised learning isolation forest

Intelligent fault detection considered as a paramount importance in Power Electronics Systems (PELS) to ensure operational reliability along with rising complexities and critical application demands. However, most of the developed methods in real-world scenarios can have better detection, and accura...

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Bibliographic Details
Published in:	Heliyon Vol. 10; no. 15; p. e35243
Main Authors:	Safari, Ashkan, Sabahi, Mehran, Oshnoei, Arman
Format:	Journal Article
Language:	English
Published:	England Elsevier Ltd 15.08.2024 Elsevier
Subjects:	Artificial intelligence electric potential difference electronics forests Intelligent fault detection Power electronics systems Pyboard microcontroller Python-to-python interface resistors Unsupervised isolation forest Unsupervised isolation forest Intelligent fault detection Pyboard microcontroller Python-to-python interface Power electronics systems Artificial intelligence
ISSN:	2405-8440, 2405-8440
Online Access:	Get full text
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