| Construction of Health Indicators for Condition Monitoring of Rotating Machinery: A Review of the Research H Zhou, X Huang, G Wen, Z Lei, S Dong, P Zhang, X Chen Expert Systems with Applications, 117297, 2022 | 79 | 2022 |
| A multisource dense adaptation adversarial network for fault diagnosis of machinery Z Huang, Z Lei, G Wen, X Huang, H Zhou, R Yan, X Chen IEEE Transactions on Industrial Electronics 69 (6), 6298-6307, 2021 | 67 | 2021 |
| An intelligent fault diagnosis method based on domain adaptation and its application for bearings under polytropic working conditions Z Lei, G Wen, S Dong, X Huang, H Zhou, Z Zhang, X Chen IEEE Transactions on Instrumentation and Measurement 70, 1-14, 2020 | 51 | 2020 |
| Memory residual regression autoencoder for bearing fault detection X Huang, G Wen, S Dong, H Zhou, Z Lei, Z Zhang, X Chen IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2021 | 47 | 2021 |
| A weak fault feature extraction of rolling element bearing based on attenuated cosine dictionaries and sparse feature sign search H Zhou, H Li, T Liu, Q Chen ISA transactions 97, 143-154, 2020 | 37 | 2020 |
| Convolution enabled transformer via random contrastive regularization for rotating machinery diagnosis under time-varying working conditions H Zhou, X Huang, G Wen, S Dong, Z Lei, P Zhang, X Chen Mechanical Systems and Signal Processing 173, 109050, 2022 | 29 | 2022 |
| Conditional feature disentanglement learning for anomaly detection in machines operating under time-varying conditions H Zhou, Z Lei, E Zio, G Wen, Z Liu, Y Su, X Chen Mechanical Systems and Signal Processing 191, 110139, 2023 | 18 | 2023 |
| A hybrid denoising model using deep learning and sparse representation with application in bearing weak fault diagnosis X Zhou, H Zhou, G Wen, X Huang, Z Lei, Z Zhang, X Chen Measurement 189, 110633, 2022 | 12 | 2022 |
| Sparse dictionary analysis via structure frequency response spectrum model for weak bearing fault diagnosis H Zhou, G Wen, Z Zhang, X Huang, S Dong Measurement 174, 109010, 2021 | 10 | 2021 |
| A novel denoising strategy based on sparse modeling for rotating machinery fault detection under time-varying operating conditions Z Liu, H Zhou, G Wen, Z Lei, Y Su, X Chen Measurement 210, 112534, 2023 | 5 | 2023 |
| A novel approach of label construction for predicting remaining useful life of machinery H Lin, Z Lei, G Wen, X Tian, X Huang, J Liu, H Zhou, X Chen Shock and Vibration 2021 (1), 6806319, 2021 | 5 | 2021 |
| Hybrid system response model For Condition Monitoring of Bearings under Time-Varying Operating Conditions H Zhou, B Wang, Z Enrico, G Wen, Z Liu, Y Su, X Chen Reliability Engineering & System Safety 2023 (109528), 2023 | 4 | 2023 |
| Bearing performance degradation assessment using adversarial fusion convolutional autoencoder based on multi-source information E Wang, H Zhou, G Wen, Z Huang, Z Liu, X Chen Transactions of the Institute of Measurement and Control 46 (5), 992-1011, 2024 | | 2024 |
| Towards a Generic Framework for Mechanism-guided Deep Learning for Manufacturing Applications H Zhang, J Li, S Liang, P Wang, T Palpanas, C Wang, W Wang, H Zhou, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | | 2023 |
| Fault Diagnosis of Gearbox Compound Fault Based on Multi-scale Compound Regularized Convolutional Sparse Coding. H Zhou, G Wen, X Huang, S Dong, X Zhou Journal of Vibration, Measurement & Diagnosis 43 (2), 2023 | | 2023 |
GUANGRUI WENXI'AN JIAOTONG UNIVERSITY在 mail.xjtu.edu.cn 的电子邮件经过验证
