Jinjiang Wang

Publications

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.