Wind turbine fault detection based on deep residual networks J Liu, X Wang, S Wu, L Wan, F Xie Expert Systems with Applications 213, 119102, 2023 | 53 | 2023 |
Condition monitoring of wind turbines with the implementation of spatio-temporal graph neural network J Liu, X Wang, F Xie, S Wu, D Li Engineering Applications of Artificial Intelligence 121, 106000, 2023 | 50 | 2023 |
Obstacle distance measurement based on binocular vision for high-voltage transmission lines using a cable inspection robot L Huang, G Wu, J Liu, S Yang, Q Cao, W Ding, W Tang Science Progress 103 (3), 0036850420936910, 2020 | 27 | 2020 |
Cross-machine deep subdomain adaptation network for wind turbines fault diagnosis J Liu, L Wan, F Xie, Y Sun, X Wang, D Li, S Wu Mechanical Systems and Signal Processing 210, 111151, 2024 | 21 | 2024 |
A multisensory time-frequency features fusion method for rotating machinery fault diagnosis under nonstationary case J Liu, F Xie, Q Zhang, Q Lyu, X Wang, S Wu Journal of Intelligent Manufacturing 35 (7), 3197-3217, 2024 | 17 | 2024 |
Condition monitoring and fault detection of wind turbine driveline with the implementation of deep residual long short-term memory network Y He, J Liu, S Wu, X Wang IEEE Sensors Journal 23 (12), 13360-13376, 2023 | 17 | 2023 |
Incipient fault detection of planetary gearbox under steady and varying condition J Liu, Q Zhang, F Xie, X Wang, S Wu Expert Systems with Applications 233, 121003, 2023 | 14 | 2023 |
Dynamics characteristics of wind turbine gear pairs considering lubrication and tooth surface roughness Q Zhang, J Liu, S Wu, X Wang, D Zhao Meccanica 59 (2), 255-277, 2024 | 8 | 2024 |
Analytical modeling and multi-objective optimization algorithm for abrasive waterjet milling Ti6Al4V L Wan, J Liu, Y Qian, X Wang, S Wu, H Du, D Li The International Journal of Advanced Manufacturing Technology 123 (11 …, 2022 | 8 | 2022 |
A robot hybrid hierarchical network for sensing environmental variables of a smart Grid J Liu, G Wu, F Fan, Y Li Sensors 20 (19), 5521, 2020 | 5 | 2020 |
Condition monitoring of wind turbines with implementation of interactive Spatio–Temporal deep learning networks Q Lyu, J Liu, Y He, X Wang, S Wu IEEE Transactions on Instrumentation and Measurement 72, 1-11, 2023 | 4 | 2023 |
A parameter-adaptive spectral graph wavelet transform method for wind turbines vibration signal denoising J Liu, Q Zhang, D Li, Y Teng, S Wu, X Wang International Journal of Mechanical Sciences 270, 109075, 2024 | 2 | 2024 |
A novel multiscale adaptive graph adversarial network for mechanical fault diagnosis J Liu, C Wang, R Wang, Q Xiao, X Wang, S Wu, L Zhang Knowledge-Based Systems 309, 112787, 2025 | 1 | 2025 |
Study on fault mechanism and dynamics of spur gear pair with time-varying backlash Q Zhang, J Liu, X Wang, F Xie, S Wu Nonlinear Dynamics 112 (17), 14853-14877, 2024 | 1 | 2024 |
An Investigation of the Effect of the Fault Degree on the Dynamic Characteristics and Crack Propagation of Rolling Bearings L Zhang, Z Xiang, H Zhang, W Liu, C Huang, T Qian, C Wang, J Liu Applied Sciences 15 (3), 1198, 2025 | | 2025 |
Denoising Diffusion Implicit Model Combined with TransNet for Rolling Bearing Fault Diagnosis Under Imbalanced Data C Wang, C Huang, L Zhang, Z Xiang, Y Xiao, T Qian, J Liu Sensors 24 (24), 8009, 2024 | | 2024 |