Helical Gear Defect Detection System Based on Symmetrized Dot Pattern and Convolutional Neural Network

This study proposes a helical gear defect detection system based on Symmetric Dot Pattern (SDP) and Convolutional Neural Network (CNN). By converting the collected time-domain signals into SDP images and processing them with different delay coefficients and weighting coefficients, followed by deep l...

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Autors principals:	Ting-En Wu, Shu-Hsien Huang, Chia-Hung Lai
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	Enter symmetrized dot pattern convolutional neural network vibration analysis helical gears defect detection
Accés en línia:	https://ieeexplore.ieee.org/document/10755078/
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