| Denoising the hob vibration signal using improved complete ensemble empirical mode decomposition with adaptive noise and noise quantization strategies H Zhou, P Yan, Y Yuan, D Wu, Q Huang ISA transactions 131, 715-735, 2022 | 19 | 2022 |
| A gear machining error prediction method based on adaptive Gaussian mixture regression considering stochastic disturbance D Wu, P Yan, Y Guo, H Zhou, J Chen Journal of Intelligent Manufacturing 33 (8), 2321-2339, 2022 | 19 | 2022 |
| Integrated optimization method for helical gear hobbing parameters considering machining efficiency, cost and precision D Wu, P Yan, Y Guo, H Zhou, R Yi The International Journal of Advanced Manufacturing Technology 113 (3), 735-756, 2021 | 19 | 2021 |
| Quality estimation method for gear hobbing based on attention and adversarial transfer learning D Wu, P Yan, J Pei, Y Su, H Zhou, R Yi, G Hu Measurement 188, 110383, 2022 | 17 | 2022 |
| Noise reduction and feature enhancement of hob vibration signal based on parameter adaptive VMD and autocorrelation analysis Y Yuan, P Yan, H Zhou, Q Huang, D Wu, J Zhu, Z Ni Measurement Science and Technology 33 (12), 125116, 2022 | 13 | 2022 |
| Hob vibration signal denoising and effective features enhancing using improved complete ensemble empirical mode decomposition with adaptive noise and fuzzy rough sets H Zhou, P Yan, Q Huang, Y Yuan, J Pei, Y Yang Expert Systems with Applications 233, 120989, 2023 | 9 | 2023 |
| A novel online framework for gear machining quality prediction based on ensemble deep regression D Wu, P Yan, H Zhou, T Liu, Y Fang, R Yi, Y Yuan, Y Yang, Y Fan Measurement 201, 111716, 2022 | 7 | 2022 |
| Weighted average selective ensemble strategy of deep convolutional models based on grey wolf optimizer and its application in rotating machinery fault diagnosis H Zhou, P Yan, Q Huang, D Wu, J Pei, L Zhang Expert Systems with Applications 234, 121076, 2023 | 5 | 2023 |
| Analysis method for factors influencing gear hobbing quality based on density peak clustering and improved multi-objective differential evolution algorithm Y Guo, P Yan, D Wu, H Zhou, Y Shi, R Yi International Journal of Computer Integrated Manufacturing 34 (4), 385-406, 2021 | 3 | 2021 |
| Fault diagnosis of rotating machinery based on FA-DSAE H Zhou, P Yan, J Pei, D Wu, Y Guo 2020 10th Institute of Electrical and Electronics Engineers International …, 2020 | 3 | 2020 |
| Analysis of hob vibration frequency components distribution mechanism of different faults states H Zhou, P Yan, Q Huang, B Wu, L Zhang, Y Yuan Measurement 222, 113645, 2023 | 2 | 2023 |
| Detection and recovery of anomalous vibration signal of rotating machinery based on LOF-MSAMP L Zhang, P Yan, H Zhou, Q Huang, J Pei, Y Yang Measurement Science and Technology 35 (1), 015123, 2023 | 2 | 2023 |
| Online unsupervised monitoring for hob wear based on multi-domain vibration features extraction and improved Q-statistic control chart H Zhou, P Yan, L Zhang, J Pei, Q Huang Measurement 226, 114076, 2024 | 1 | 2024 |
| Helical Gear Machining Quality Estimation Based on Processing Parameters Importance Analysis D Wu, P Yan, Y Guo, H Zhou, R Yi 2020 10th Institute of Electrical and Electronics Engineers International …, 2020 | 1 | 2020 |
| Rotating Machinery Fault Diagnosis Method Based on Temporal-spatial Vibration Feature Fusion Extraction H Zhou, Q Huang, C Zhou, P He, N Zhe, H Wang IEEE Sensors Journal, 2024 | | 2024 |
| A temperature-sensitive points selection method for machine tool based on rough set and multi-objective adaptive hybrid evolutionary algorithm J Pei, P Yan, H Zhou, D Wu, J Chen, R Yi Advanced Engineering Informatics 62, 102844, 2024 | | 2024 |
| 基于 MTConnect 的装备建模标准化与互联互通互操作 周涵， 鄢萍， 赵桢， 易润忠， 闻帅杰 计算机集成制造系统 28 (2), 466, 2022 | | 2022 |
| Analysis method of importance degree of hobbing process parameters Y Guo, P Yan, D Wu, H Zhou, R Yi 2020 10th Institute of Electrical and Electronics Engineers International …, 2020 | | 2020 |
| 滚刀主轴振动位移与加速度响应模型研究与验证 周涵， 鄢萍， 裴洁， 赵桢， 罗倩倩 机械工程学报 56 (7), 72-85, 2020 | | 2020 |
| A Multi-Scenario Model Fusion and Verification Method for Digital Twin Machine Tool H Li, H Zhou, J Pei, B Wang Han and Pei, Jie and Wang, Bochen, A Multi-Scenario Model Fusion and …, 0 | | |
