近期论文
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Wanqian Yang and Gang Yu*, Federated Multi-Model Transfer Learning-Based Fault Diagnosis with Peer-to-Peer Network for Wind Turbine Cluster, Machines, 2022, 10(11): 1-21
Mang Gao, Gang Yu*, Changning Li, Incipient Gear Fault Detection Using Adaptive Impulsive Wavelet Filter Based on Spectral Negentropy, Chinese Journal of Mechanical Engineering, 2022, 35(10): 1-23
Hao Liu, Gang Yu, Han Hu, A Multi-sensor Combined Tracking Method for Following Robots, Intelligent Robotics and Applications, ICIRA 2022, PT II, 13456: 722-734
Tongda Sun, Gang Yu, Mang Gao, Lulu Zhao, Chen Bai, and Wanqian Yang, Fault Diagnosis Methods Based on Machine Learning and Its Applications for Wind Turbines: A Review, IEEE Access, 2021, 9: 147481-147511
Han Hu, Gang Yu, Geyang Wu, and Tongda Sun, A Tracking Method Based on Lightweight Feature Extraction Network for Tracking Robot, Intelligent Robotics and Applications, ICIRA 2021, PT III, 13015: 367-377
Gang Yu, Jia Liu, Chang Zhang , An Abnormal Behavior Recognition Method Based on Fusion Features, Intelligent Robotics and Applications, ICIRA 2021, PT III, 13015: 222-232
Xikai Han, Gang Yu, Han Hu, Jia Liu, Illumination-Adapted Long-Term Tracking Based on Multiple Correlation Framework, Journal of Physics: Conference Series, 2021, 1748: 042056-042061
Gang Yu, Mang Gao*, and Chenli Jia, A fast filtering method based on adaptive impulsive wavelet for the gear fault diagnosis, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, p. 0954406220906245, 2020
Mang Gao, Gang Yu*, Tao Wang, Impulsive Gear Fault Diagnosis Using Adaptive Morlet Wavelet Filter Based on Alpha-Stable Distribution and Kurtogram, IEEE Access, 2019, 7:72283-72296
Chenyang Ma, Gang Yu, An Improved Kernel Correlation Filter for Occlusion Target Tracking. 2019 IEEE 4th International Conference on Image, Vision and Computing (ICIVC), 674-678
Gang Yu, Yifan Liu, Xikai Han, Chang Zhang, Objects Grasping of Robotic Arm with Compliant Grasper Based on Vision, Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering, 2019, 62:1-6
Gang Yu, Mang Gao, LuLu Zhao, Yingying Zhu. Feature Extraction of Mixed Faults of Rotating Machinery Based on ICA -R and Stochastic Resonance, Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering, 2019, 6:1-6
Gang Yu, Ting Li, Recognition of Human Continuous Action with 3D CNN, ICVS 2017, LNCS 10528: 314-322
Weina Xi, Yongsheng Ou, Jiansheng Peng, and Gang Yu, A New Method for Indoor Low-cost Mobile Robot SLAM, Proceedings of the 2017 IEEE International Conference on Information and Automation (ICIA), 1012-1017
Weina Xi, Yongsheng Ou, Wei Feng, Gang Yu, An Improved Serial Method for Mobile Robot SLAM, Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 501-506
Yu, Gang; Wang, Xiaoman, Ultrasonic signal processing using wavelet transform for automatic rail defect detection, International Forum on Management, Education and Information Technology Application (IFMEITA), 2016, 47:678-681
Gang Yu, Yu-jia Zhou, Ying-ying Zhu, A Wireless Vibration Sensor System Based on Shaft Synchronous Measurement for Gear Fault Diagnosis, 2016, 1-5
Yu, Gang; Butt, Uqab; Kausar, Tasleem, Incipient rotating machinery fault diagnosis based on multi-stable stochastic resonance driven by alpha-stable noise, 2016, 7819848: 1-5
Gang Yu, Mimi Guo, Degradation mode recognition for battery of electric vehicle based on ART2 network, Applied Mechanics and Materials, 2014, 455:574-579
Gang Yu, Fault feature extraction using independent component analysis with reference and its application on fault diagnosis of rotating machinery, Neural Comput & Applic, 2014, 26:187–198
Gang Yu, Changning Li, Jianfeng Zhang, A new statistical modeling and detection method for rolling element bearing faults based on alpha-stable distribution, Mechanical Systems and Signal Processing, 2013,41(1-2):155-175
Gang Yu, Wenqi Li, Machine fault feature extraction based on wavelets and recurrence quantification analysis, 2012 International Symposium on Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 2012, 1: 196-199
Gang Yu, Zhidong Xiao, Changning Li, Blind source separation of rotating machinery fault signals based on Fractional Lower Order statistics, 2011 Prognostics and System Health Management Conference, 2011, 1-6
Gang Yu, Xiaohua Liang, Juan Wang, Fault feature separation for fault diagnosis of rotating machinery using ICA with reference, The 9th International Conference on Reliability, Maintainability and Safety (ICRMS’2011), 2011, 1010-1014
Changning Li, Gang Yu, A new statistical model for rolling element bearing fault signals based on alpha-stable distribution, 2010 Second International Conference on Computer Modeling and Simulation, 2010, 4: 386-390
Gang Yu, Xuefeng Zhang, Adaptive wavelet filter based on Fractional Lower Order Moment for bearing fault diagnosis, 3rd International Congress on Image and Signal Processing, 2010, 4006-4010
Gang Yu, Sagar V. Kamarthi, A cluster-based wavelet feature extraction method and its application, Engineering Applications of Artificial Intelligence, 2010, 23: 196-202
Gang Yu, Yingzi Lin, Sagar Kamarthi, Wavelets-Based Feature Extraction for Texture Classification, Advanced Materials Research, 2010, 97-101: 1273-1276
Gang Yu, Changning Li, Jun Sun, Machine fault diagnosis based on Gaussian mixture model and its application, The International Journal of Advanced Manufacturing Technology, 2010, 48(1-4): 205-212
Gang Yu, Changning Li, Sagar Kamarthi, Machine fault diagnosis using a cluster-based wavelet feature extraction and probabilistic neural networks, The International Journal of Advanced Manufacturing Technology, 2009, 42: 145-151
Gang Yu, Hai Qiu, Dragan Djurdjanovic, Jay Lee, Feature signature prediction of a boring process using neural network modeling with confidence bounds, International Journal of Advanced Manufacturing Technology, 2006, 30(7-8): 614-621
会议论文及发表演说
Gang Yu, Wenqi Li, Machine fault feature extraction based on wavelets and recurrence quantification analysis, 2012 International Symposium on Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 2012, 1: 196-199
Gang Yu, Zhidong Xiao, Changning Li, Blind source separation of rotating machinery fault signals based on Fractional Lower Order statistics, 2011 Prognostics and System Health Management Conference, 2011, 1-6
Gang Yu, Xiaohua Liang, Juan Wang, Fault feature separation for fault diagnosis of rotating machinery using ICA with reference, The 9th International Conference on Reliability, Maintainability and Safety (ICRMS’2011), 2011, 1010-1014
Changning Li, Gang Yu, A new statistical model for rolling element bearing fault signals based on alpha-stable distribution, 2010 Second International Conference on Computer Modeling and Simulation, 2010, 4: 386-390
Gang Yu, Xuefeng Zhang, Adaptive wavelet filter based on Fractional Lower Order Moment for bearing fault diagnosis, 3rd International Congress on Image and Signal Processing, 2010, 4006-4010
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