Zhang, F., Yan, J., Fu, P., Wang, J., & Gao, R. X.(2020).Ensemble sparse supervised model for bearing fault diagnosis in smart manufacturing.Robotics and Computer-Integrated Manufacturing,65
Wang, J., Li, Y., Zhao, R., & Gao, R. X.(2020).Physics guided neural network for machining tool wear prediction.Journal of Manufacturing Systems,57, 298-310.
Wang, J., Zhao, R., & Gao, R. X.(2020).Probabilistic Transfer Factor Analysis for Machinery Autonomous Diagnosis Cross Various Operating Conditions.IEEE Transactions on Instrumentation and Measurement,69(8),5335-5344.
Fu, P., Wang, J., Zhang, X., Zhang, L., & Gao, R. X.(2020).Dynamic Routing-based Multimodal Neural Network for Multi-sensory Fault Diagnosis of Induction Motor.Journal of Manufacturing Systems,55, 264-272.
Wang, J., Liang, Y., Zheng, Y., Gao, R. X., & Zhang, F. X.(2020).An integrated fault diagnosis and prognosis approach for predictive maintenance of wind turbine bearing with limited samples.Renewable Energy,145, 642-650.
Wang, J., Yan, J., Li, C., Gao, R. X., & Zhao, R. X.(2019).Deep heterogeneous GRU model for predictive analytics in smart manufacturing: Application to tool wear prediction.Computers in Industry,111, 1-14.
Wang, J., Fu, P., Zhang, L., Gao, R. X., & Zhao, R. X.(2019).Multilevel Information Fusion for Induction Motor Fault Diagnosis.Mechatronics, IEEE-ASME Transactions on,24(5),2139-2150.
Wang, J., Ye, L., Gao, R. X., Li, C. X., & Zhang, L. X.(2019).Digital Twin for rotating machinery fault diagnosis in smart manufacturing.International Journal of Production Research,57(12),3920-3934.
Wang, J., Fu, P., & Gao, R. X.(2019).Machine vision intelligence for product defect inspection based on deep learning and Hough transform.Journal of Manufacturing Systems,51, 52-60.
Qiao, Q., Wang, J., Ye, L., & Gao, R. X.(2019).Digital Twin for Machining Tool Condition Prediction.Procedia CIRP,81, 1388-1393.
Wang, J., Ye, L., Gao, R. X., Li, C. X., & Zhang, L. X.(2018).Digital Twin for rotating machinery fault diagnosis in smart manufacturing.International Journal of Production Research.
Wang, J., Ma, Y., Zhang, L., Gao, R. X., & Wu, D. X.(2018).Deep learning for smart manufacturing: Methods and applications.Journal of Manufacturing Systems.
Wang, J., Zheng, Y., Wang, P., & Gao, R. X.(2017).A virtual sensing based augmented particle filter for tool condition prognosis.Journal of Manufacturing Processes.
Wang, J., Tang, X., Gao, R. X., Duan, L. X., & Zhang, L. X.(2016).On ultrasonic communication through metal structure for machine embedded sensing.Measurement [02632241],94, 653-662.