| A hybrid prognostics approach for estimating remaining useful life of rolling element bearings B Wang, Y Lei, N Li, N Li IEEE Transactions on Reliability 69 (1), 401-412, 2020 | 1082 | 2020 |
| Deep separable convolutional network for remaining useful life prediction of machinery B Wang, Y Lei, N Li, T Yan Mechanical systems and signal processing 134, 106330, 2019 | 282 | 2019 |
| Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery B Wang, Y Lei, T Yan, N Li, L Guo Neurocomputing 379, 117-129, 2020 | 223 | 2020 |
| Multi-Scale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery B Wang, Y Lei, N Li, W Wang IEEE Transactions on Industrial Electronics, 2020 | 177 | 2020 |
| XJTU-SY Bearing Datasets Y Lei, B Wang https://www.researchgate.net/publication/338596319_XJTU-SY_Bearing_Datasets, 2019 | 90* | 2019 |
| XJTU-SY 滚动轴承加速寿命试验数据集解读 雷亚国， 韩天宇， 王彪， 李乃鹏， 闫涛， 杨军 机械工程学报 55 (16), 1-6, 2019 | 66 | 2019 |
| Joint maintenance and spare parts inventory optimization for multi-unit systems considering imperfect maintenance actions T Yan, Y Lei, B Wang, T Han, X Si, N Li Reliability Engineering & System Safety 202, 106994, 2020 | 51 | 2020 |
| Lightweight multiscale convolutional networks with adaptive pruning for intelligent fault diagnosis of train bogie bearings in edge computing scenarios A Ding, Y Qin, B Wang, L Jia, X Cheng IEEE Transactions on Instrumentation and Measurement 72, 1-13, 2022 | 30 | 2022 |
| An improved fusion prognostics method for remaining useful life prediction of bearings B Wang, Y Lei, N Li, J Lin 2017 IEEE International Conference on Prognostics and Health Management …, 2017 | 18 | 2017 |
| An Elastic Expandable Fault Diagnosis Method of Three-Phase Motors Using Continual Learning for Class-Added Sample Accumulations A Ding, Y Qin, B Wang, X Cheng, L Jia IEEE Transactions on Industrial Electronics, 2023 | 11 | 2023 |
| Remaining useful life prediction based on deep residual attention network B Wang, T Han, Y Lei, N Li 2019 International Conference on Sensing, Diagnostics, Prognostics, and …, 2019 | 6 | 2019 |
| Self-driven continual learning for class-added motor fault diagnosis based on unseen fault detector and propensity distillation A Ding, X Yi, Y Qin, B Wang Engineering Applications of Artificial Intelligence 127, 107382, 2024 | 2 | 2024 |
| A Class-Added Continual Learning Method for Motor Fault Diagnosis Based on Knowledge Distillation of Representation Proximity Behavior A Ding, Y Qin, B Wang, L Jia 2023 IEEE International Conference on Prognostics and Health Management …, 2023 | 1 | 2023 |
| Adversarial Embedding Fusion Network for Multi-sensor Fusion Fault Diagnosis of Wheelset Bearings X Ren, B Wang, Y Qin, L Jia 2022 Global Reliability and Prognostics and Health Management (PHM-Yantai), 1-7, 2022 | 1 | 2022 |
| 表面粘贴式 MEMS 应变传感器的应变传递分析 王彪， 李昂， 孙洋， 刘马宝 仪器仪表学报 37 (11), 2606-2612, 2016 | 1 | 2016 |
| Evolvable graph neural network for system-level incremental fault diagnosis of train transmission systems A Ding, Y Qin, B Wang, L Guo, L Jia, X Cheng Mechanical Systems and Signal Processing 210, 111175, 2024 | | 2024 |
| A New Convolutional Prognostics Network with Adaptive Kernels for Estimating Remaining Useful Life of Bearings Considering Variable Speed B Wang, X Ren, Y Qin, X Chen 2023 Prognostics and Health Management Conference (PHM), 122-127, 2023 | | 2023 |
| 基于博弈映射学习的多传感源信息融合三相电机智能故障诊断方法 任翔宇， 秦勇， 王彪， 贾利民， 程晓卿 电工技术学报 38 (17), 4633-4645, 2023 | | 2023 |
| 监测数据驱动的城轨列车轴箱轴承剩余寿命预测 西南交通大学学报 58 (3), 1-10, 2023 | | 2023 |
Yaguo Lei / 雷亚国Professor of Mechanical Engineering, State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University在 mail.xjtu.edu.cn 的电子邮件经过验证
