Ruqiang Yan

Publications

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].