The following publications are possibly variants of this publication:
- Data-Augmentation Based CBAM-ResNet-GCN Method for Unbalance Fault Diagnosis of Rotating MachineryHaitao Wang, Xiyang Dai, Lichen Shi, Mingjun Li, Zelin Liu, Ruihua Wang, Xiaohua Xia. access, 12:34785-34799, 2024. [doi]
- Fault Diagnosis for Rotating Machinery Gearbox based on 1DCNN-RFZhimin Li, Qi Han, Rui Yang, Xianghua Wang, Mengjie Huang. iscid 2020: 376-379 [doi]
- A Fault Diagnosis Method of Rotating Machinery Based on One-Dimensional, Self-Normalizing Convolutional Neural NetworksJingli Yang, Shuangyan Yin, Yongqi Chang, Tianyu Gao. sensors, 20(14):3837, 2020. [doi]
- An Improved Deep Transfer Learning Method for Rotating Machinery Fault Diagnosis Based on Time Frequency Diagram and Pretraining ModelShaoqing Liu, Zhenshan Ji, Zuchao Zhang, Yong Wang. tim, 73:1-12, 2024. [doi]