A Surface Microcracks Detection Method for Si3n4 Bearing Rollers Based on Attention-Guided Feature Pyramid Network and Genetic Clustering Module R-Cnn Algorithm-Reference-Cited by-同舟云学术

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A Surface Microcracks Detection Method for Si3n4 Bearing Rollers Based on Attention-Guided Feature Pyramid Network and Genetic Clustering Module R-Cnn Algorithm

Published:2023 Issue: Volume: Page:
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Author:

Wu Nanxing,Liao Dahai,Cui Zhihui,Liu Changzheng,Zheng Qi,Le Jianbo

Publisher

Elsevier BV

Reference24 articles.

1. Experimental analysis and modelling of c-crack propagation in silicon nitride ball bearing element under rolling contact fatigue;M Nazir;Tribology International,2018

2. Fracture toughness of silicon nitride balls via thermal shock[J];S Strobl;Journal of the European Ceramic Society,2018

3. A review of rolling contact fatigue behavior of silicon nitride focusing on testing practices and crack propagation analysis[J];W Kanematsu;Wear,2018

4. High throughput hybrid laser assisted machining of sintered reaction bonded silicon nitride[J];G Guerrini;Journal of Materials Processing Technology,2018

5. An improved image acquisition method for measuring hot forgings using machine vision;Yang Liu;Sensors and Actuators A: Physical,2016

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