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...
| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
MDPI AG
2025-01-01
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| 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 |