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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書目詳細資料

Principais autores:	Ting-En Wu, Shu-Hsien Huang, Chia-Hung Lai
格式:	Artigo
語言:	Inglês
出版:	IEEE 2024-01-01
叢編:	IEEE Access
主題:	Enter symmetrized dot pattern convolutional neural network vibration analysis helical gears defect detection
在線閱讀:	https://ieeexplore.ieee.org/document/10755078/
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