Hybrid Deep Learning Framework for Real-Time Fault Detection in Squirrel-Cage Induction Motors
收藏Zenodo2025-10-02 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.17250944
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资源简介：
The Fourth Industrial Revolution has heightened the demand for intelligent and reliable predictive maintenance systems in industrial environments. This study proposes a hybrid deep learning-based framework for real-time fault detection in Squirrel-Cage Induction Motors (SCIMs).
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Zenodo创建时间：
2025-10-02
