The following publications are possibly variants of this publication:
- Fault Diagnosis of Rolling Bearing Using Multiscale Fusion Convolutional Neural NetworkMengyuan Ren, Yiming He, Qiang Wang, Jingtao Sun. hpcc 2021: 1596-1601 [doi]
- A Multiscale Graph Convolutional Neural Network Framework for Fault Diagnosis of Rolling BearingPeizhe Yin, Jie Nie, Xinyue Liang, Shusong Yu, Chenglong Wang, Weizhi Nie, Xiangqian Ding. tim, 72:1-13, 2023. [doi]
- Multiscale Convolutional Neural Network With Feature Alignment for Bearing Fault DiagnosisJunbin Chen, Ruyi Huang, Kun Zhao, Wei Wang, Longcan Liu, Weihua Li 0004. tim, 70:1-10, 2021. [doi]
- Bearing Fault Diagnosis and Interpretation Based on 2D Images and Convolutional Neural NetworkZhenzhen Tian, Xinyu Zhang, Wei Yan, Jihua Wang. apsipa 2023: 2155-2162 [doi]
- Deep Learning-Based Bearing Fault Diagnosis Using a Trusted Multiscale Quadratic Attention-Embedded Convolutional Neural NetworkYuheng Tang, Chaoyong Zhang, Jianzhao Wu, Yang Xie, Weiming Shen 0001, Jun Wu 0012. tim, 73:1-15, 2024. [doi]
- Multiscale Dense Convolutional Networks for Intelligent Fault Diagnosis of Rolling BearingYadong Xu, Beibei Sun. dsa 2021: 114-119 [doi]