Shao, S., Yan, R., Lu, Y., Wang, P., & Gao, R. X.(2020).DCNN-based Multi-signal Induction Motor Fault Diagnosis.IEEE Transactions on Instrumentation and Measurement,69(6),2658-2669.
Sun, C., Chen, X., Yan, R., & Gao, R. X.(2020).Composite-Graph-Based Sparse Subspace Clustering for Machine Fault Diagnosis.IEEE Transactions on Instrumentation and Measurement,69(5),1850-1859.
Wang, Z., Xu, J., Yan, R., & Gao, R. X.(2020).A New Intelligent Bearing Fault Diagnosis Method Using SDP Representation and SE-CNN.IEEE Transactions on Instrumentation and Measurement,69(5),2377-2389.
Zhao, D., Cheng, W., Gao, R. X., Yan, R. X., & Wang, P. X.(2020).Generalized Vold–Kalman Filtering for Nonstationary Compound Faults Feature Extraction of Bearing and Gear.IEEE Transactions on Instrumentation and Measurement,69(2),401-410.
Zhao, D., Cheng, W., Gao, R. X., Yan, R. X., & Wang, P. X.(2019).Generalized Vold-Kalman Filtering for Nonstationary Compound Faults Feature Extraction of Bearing and Gear.IEEE Transactions on Instrumentation and Measurement.
Shao, S., Yan, R., Lu, Y., Wang, P., & Gao, R. X.(2019).DCNN-based Multi-signal Induction Motor Fault Diagnosis.IEEE Transactions on Instrumentation and Measurement.
Sun, C., Chen, X., Yan, R., & Gao, R. X.(2019).Composite Graph-based Sparse Subspace Clustering for Machine Fault Diagnosis.IEEE Transactions on Instrumentation and Measurement.
Zhang, J., Wang, P., Gao, R. X., Sun, C. X., & Yan, R. X.(2019).Induction Motor Condition Monitoring for Sustainable Manufacturing.Procedia Manufacturing,33, 802-809.
Zhao, R., Yan, R., Chen, Z., Mao, K., Wang, P., & Gao, R. X.(2019).Deep learning and its applications to machine health monitoring.Mechanical Systems and Signal Processing,115, 213-237.
Sun, C., Wang, P., Yan, R., Gao, R. X., & Chen, X. X.(2019).Machine health monitoring based on locally linear embedding with kernel sparse representation for neighborhood optimization.Mechanical Systems and Signal Processing,114, 25-34.
Zhang, J., Wang, P., Yan, R., & Gao, R. X.(2018).Long short-term memory for machine remaining life prediction.Journal of Manufacturing Systems.
Zhao, D., Li, J., Cheng, W., Wang, P., Gao, R. X., & Yan, R. X.(2018).Vold-Kalman generalized demodulation for multi-faults detection of gear and bearing under variable speeds.Procedia Manufacturing,26, 1213-1220.
Zhang, J., Wang, P., Gao, R. X., & Yan, R. X.(2018).An Image Processing Approach to Machine Fault Diagnosis Based on Visual Words Representation.Procedia Manufacturing,19, 42-49.
Zhang, J., Wang, P., Yan, R., & Gao, R. X.(2018).Deep Learning for Improved System Remaining Life Prediction.Procedia CIRP,72, 1033-1038.
Qian, Y., Yan, R., & Gao, R. X.(2017).A multi-time scale approach to remaining useful life prediction in rolling bearing.Mechanical Systems and Signal Processing,83, 549-567.
Wang, P., Ananya, P., Yan, R., & Gao, R. X.(2017).Virtualization and deep recognition for system fault classification.Journal of Manufacturing Systems.
Wang, P., Gao, R. X., & Yan, R. X.(2017).A deep learning-based approach to material removal rate prediction in polishing.CIRP Annals - Manufacturing Technology.
Zhang, X., Gao, R. X., Yan, R. X., Chen, X. X., Sun, C. X., & Yang, Z. X.(2016).Multivariable wavelet finite element-based vibration model for quantitative crack identification by using particle swarm optimization.Journal of Sound and Vibration [0022460X],375, 200-216.
Zhang, X., Wang, C., Gao, R. X., Yan, R. X., Chen, X. X., & Wang, S. X.(2016).A Novel Hybrid Error Criterion-Based Active Control Method for on-Line Milling Vibration Suppression with Piezoelectric Actuators and Sensors.Sensors [14248220],16(1).
Zhang, X., Gao, R. X., Yan, R. X., Chen, X. X., Sun, C. X., & Yang, Z. X.(2016).Analysis of Laminated Plates and Shells Using B-Spline Wavelet on Interval Finite Element.International Journal of Structural Stability and Dynamics [02194554].