Innovative defect detection in surface-modified gears using time–frequency domain analysis and deep learning models

Gears play a pivotal role in power transmission systems. Over prolonged periods of high-load transmission, the issue of gear lifespan has become a challenging one to address. Monitoring systems are vital in today’s smart manufacturing landscape, contributing to safety and sustainable development. Pr...

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Veröffentlicht in:	International journal of advanced manufacturing technology 2025, Vol.136 (3), p.1577-1585
Hauptverfasser:	Huang, Shu-Hsien, Wu, Ting-En, Lai, Chia-Hung
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial intelligence Artificial neural networks CAE) and Design Computer-Aided Engineering (CAD Deep learning Defects Discrete Wavelet Transform Engineering Frequency domain analysis Helical gears Industrial and Production Engineering Machine learning Manufacturing Mechanical Engineering Media Management Original Article Spur gears Sustainable development Vibration analysis Vibration monitoring Wavelet analysis Wavelet transforms Wear rate
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