| Noise source identification of diesel engine based on variational mode decomposition and robust independent component analysis J Yao, Y Xiang, S Qian, S Wang, S Wu Applied Acoustics 116, 184-194, 2017 | 80 | 2017 |
| Data-driven lithium-ion batteries capacity estimation based on deep transfer learning using partial segment of charging/discharging data J Yao, T Han Energy 271, 127033, 2023 | 73 | 2023 |
| Fault diagnosis of planetary gearbox based on acoustic signals J Yao, C Liu, K Song, C Feng, D Jiang Applied Acoustics 181, 108151, 2021 | 40 | 2021 |
| Noise source separation of diesel engine by combining binaural sound localization method and blind source separation method J Yao, Y Xiang, S Qian, S Li, S Wu Mechanical Systems and Signal Processing 96, 303-320, 2017 | 23 | 2017 |
| Fault detection of complex planetary gearbox using acoustic signals J Yao, C Liu, K Song, X Zhang, D Jiang Measurement 178, 109428, 2021 | 16 | 2021 |
| Radiation Noise Separation of Internal Combustion Engine Based on Gammatone-RobustICA Method J Yao, Y Xiang, S Qian, S Wang Shock and Vibration 2017, 1-14, 2017 | 13 | 2017 |
| A planetary gearbox fault diagnosis method based on time-series imaging feature fusion and a transformer model R Wu, C Liu, T Han, J Yao, D Jiang Measurement Science and Technology 34 (2), 024006, 2022 | 12 | 2022 |
| A meshfree radial point interpolation coupled with infinite acoustic wave envelope element method for computing acoustic fields S Wu, Y Xiang, J Yao Acta Acustica united with Acustica 104 (1), 64-78, 2018 | 10 | 2018 |
| Noise Source Separation of an Internal Combustion Engine Based on a Single-Channel Algorithm J Yao, Y Xiang, S Qian, S Wang Shock and Vibration 2019, 1-19, 2019 | 9 | 2019 |
| An Element-Free Galerkin Coupled with Improved Infinite Element Method for Exterior Acoustic Problem S Wu, Y Xiang, J Yao, S Wang Journal of Theoretical and Computational Acoustics 27 (2), 1-25, 2019 | 6 | 2019 |
| A low-frequency fault detection method for low-speed planetary gearbox based on acoustic signals J Yao, C Liu, H Wang, D Jiang Applied Acoustics 195, 108838, 2022 | 4 | 2022 |
| 基于VMD-ICA-CWT的内燃机噪声源识别方法 姚家驰， 向阳， 李胜杨， 王帅 华中科技大学学报（自然科学版） 44 (7), 20-24, 2016 | 4 | 2016 |
| Research on performance prediction of gas turbine air filtration system based on transformation-gated LSTM method J Yao, C Liu, J Hao, H Huang, G Deng, D Jiang 2021 2nd International Conference on Electronics, Communications and …, 2021 | 1 | 2021 |
| Comparative analysis and forecasting of isentropic efficiency of gas turbine compressor with ARIMA, VAR, NARNN and ANFIS approaches J Yao, C Liu, Y Jin, G Deng, Y Guan, J Hao, H Huang, D Jiang IOP Conference Series: Materials Science and Engineering 1207 (1), 012013, 2021 | 1 | 2021 |
| Cylinder Head Vibration Signals Separation of Internal Combustion Engines Based on VMD and RobustICA J YAO, Y XIANG, S QIAN, G ZHANG China Mechanical Engineering 29 (08), 923, 2018 | 1 | 2018 |
| Research on Experimental Method for Obtaining Independent Combustion Noise of Internal Combustion Engine Y Xiang, J Yao, Q Zhou, S Qian, S Wang Shock and Vibration 2018, 1-14, 2018 | 1 | 2018 |
| Multi-sensor fusion fault diagnosis method of wind turbine bearing based on viewable neural networks X Li, Y Wang, J Yao, M Li, Z Gao RELIABILITY ENGINEERING & SYSTEM SAFETY 245, 2024 | | 2024 |
| Semi-supervised adversarial deep learning for capacity estimation of battery energy storage systems J Yao, Z Chang, T Han, J Tian Energy, 130882, 2024 | | 2024 |
| Multi-sensor fusion fault diagnosis method of wind turbine bearing based on adaptive convergent viewable neural networks X Li, Y Wang, J Yao, M Li, Z Gao Reliability Engineering & System Safety, 109980, 2024 | | 2024 |
| 基于变分模态分解和鲁棒性独立成分分析的内燃机缸盖振动信号分离 姚家驰， 向阳， 钱思冲， 张冠军 中国机械工程 29 (8), 923-929, 2018 | | 2018 |
