Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis

Induction motors are essential components in industry due to their efficiency and cost-effectiveness. This study presents an innovative methodology for automatic fault detection by analyzing images generated from the Fourier spectra of current signals using deep learning techniques. A new preprocess...

詳細記述

書誌詳細
主要な著者: Kevin Barrera-Llanga, Jordi Burriel-Valencia, Angel Sapena-Bano, Javier Martinez-Roman
フォーマット: 論文
言語:English
出版事項: MDPI AG 2025-01-01
シリーズ:Sensors
主題:
オンライン・アクセス:https://www.mdpi.com/1424-8220/25/2/471