Zhibin Zhao

Zhibin Zhao

Assisant Professor, School of Mechanical Engineering, Xi'an Jiaotong University

Publications

You can also browse my Google Scholar Profile.

Preprints

    Journal Publications

    1. Monitoring on triboelectric nanogenerator and deep learning method
      Jian Yu, Leiyang*, Zhibin Zhao*, Yanjie Guo and Xiao Guo
      Nano Energy, 2021
      [bibtex] [link]

      @article{yu2022monitoring,
  title={Monitoring on triboelectric nanogenerator and deep learning method},
  author={Yu, Jian and Wen, Yu and Yang, Lei and Zhao, Zhibin and Guo, Yanjie and Guo, Xiao},
  journal={Nano Energy},
  volume={92},
  pages={106698},
  year={2022},
  publisher={Elsevier}
}

    2. Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis
      Zhibin Zhao, Shibin Wang, David Wong, Wendong Wang, Ruqiang Yan and Xuefeng Chen
      IEEE/ASME Transactions on Mechatronics, 2021
      [bibtex] [link] [codes]

      @article{zhao2021fast,
  title={Fast sparsity-assisted signal decomposition with non-convex enhancement for bearing fault diagnosis},
  author={Zhao, Zhibin and Wang, Shibin and Wong, David and Wang, Wendong and Yan, Ruqiang and Chen, Xuefeng},
  journal={IEEE/ASME Transactions on Mechatronics},
  year={2021},
  publisher={IEEE}
}

    3. Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study
      Zhibin Zhao, Qiyang Zhang, Xiaolei Yu, Chuang Sun, Shibin Wang, Ruqiang Yan and Xuefeng Chen
      IEEE Transactions on Instrumentation and Measurement, 2021
      [bibtex] [link] [codes]

      @article{zhao2021applications,
  title={Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study},
  author={Zhao, Zhibin and Zhang, Qiyang and Yu, Xiaolei and Sun, Chuang and Wang, Shibin and Yan, Ruqiang and Chen, Xuefeng},
  journal={IEEE Transactions on Instrumentation and Measurement},
  year={2021},
  publisher={IEEE}
}

    4. Learning from Class-imbalanced Data with a Model-Agnostic Framework for Machine Intelligent Diagnosis
      Jingyao Wu, Zhibin Zhao, Chuang Sun, Ruqiang Yan and Xuefeng Chen
      Reliability Engineering \& System Safety, 2021
      [bibtex] [link]

      @article{wu2021learning,
  title={Learning from Class-imbalanced Data with a Model-Agnostic Framework for Machine Intelligent Diagnosis},
  author={Wu, Jingyao and Zhao, Zhibin and Sun, Chuang and Yan, Ruqiang and Chen, Xuefeng},
  journal={Reliability Engineering \& System Safety},
  volume={216},
  pages={107934},
  year={2021},
  publisher={Elsevier}
}

    5. Hierarchical attention graph convolutional network to fuse multi-sensor signals for remaining useful life prediction
      Tianfu Li, Zhibin Zhao, Chuang Sun, Ruqiang Yan and Xuefeng Chen
      Reliability Engineering \& System Safety, 2021
      [bibtex] [link]

      @article{li2021hierarchical,
  title={Hierarchical attention graph convolutional network to fuse multi-sensor signals for remaining useful life prediction},
  author={Li, Tianfu and Zhao, Zhibin and Sun, Chuang and Yan, Ruqiang and Chen, Xuefeng},
  journal={Reliability Engineering \& System Safety},
  volume={215},
  pages={107878},
  year={2021},
  publisher={Elsevier}
}

    6. Challenges and Opportunities of AI-Enabled Monitoring, Diagnosis \& Prognosis: A Review
      Zhibin Zhao, Jingyao Wu, Tianfu Li, Chuang Sun, Ruqiang Yan and Xuefeng Chen
      Chinese Journal of Mechanical Engineering, 2021
      [bibtex] [link]

      @article{zhao2021challenges,
  title={Challenges and Opportunities of AI-Enabled Monitoring, Diagnosis \& Prognosis: A Review},
  author={Zhao, Zhibin and Wu, Jingyao and Li, Tianfu and Sun, Chuang and Yan, Ruqiang and Chen, Xuefeng},
  journal={Chinese Journal of Mechanical Engineering},
  volume={34},
  number={1},
  pages={1--29},
  year={2021},
  publisher={SpringerOpen}
}

    7. Multi-Scale Convolutional Gated Recurrent Unit Networks for Tool Wear Prediction in Smart Manufacturing
      Weixin Xu, Huihui Miao, Zhibin Zhao, Jinxin Liu, Chuang Sun and Ruqiang Yan
      Chinese Journal of Mechanical Engineering, 2021
      [bibtex] [link]

      @article{xu2021multi,
  title={Multi-Scale Convolutional Gated Recurrent Unit Networks for Tool Wear Prediction in Smart Manufacturing},
  author={Xu, Weixin and Miao, Huihui and Zhao, Zhibin and Liu, Jinxin and Sun, Chuang and Yan, Ruqiang},
  journal={Chinese Journal of Mechanical Engineering},
  volume={34},
  number={1},
  pages={1--16},
  year={2021},
  publisher={Springer}
}

    8. Low-dimensional multi-scale Fisher discriminant dictionary learning for intelligent gear-fault diagnosis
      Li Zhou, Shibin Wang, Zhibin Zhao, Gaigai Cai, Chuang Sun, Ruqiang Yan and Xuefeng Chen
      Measurement Science and Technology, 2021
      [bibtex] [link]

      @article{zhou2021low,
  title={Low-dimensional multi-scale Fisher discriminant dictionary learning for intelligent gear-fault diagnosis},
  author={Zhou, Li and Wang, Shibin and Zhao, Zhibin and Cai, Gaigai and Yan, Ruqiang and Chen, Xuefeng},
  journal={Measurement Science and Technology},
  volume={32},
  number={8},
  pages={084001},
  year={2021},
  publisher={IOP Publishing}
}

    9. Bayesian Differentiable Architecture Search for Efficient Domain Matching Fault Diagnosis
      Zheng Zhou, Tianfu Li, Zilong Zhang, Zhibin Zhao, Chuang Sun, Ruqiang Yan and Xuefeng Chen
      IEEE Transactions on Instrumentation and Measurement, 2021
      [bibtex] [link]

      @article{zhou2021bayesian,
  title={Bayesian Differentiable Architecture Search for Efficient Domain Matching Fault Diagnosis},
  author={Zhou, Zheng and Li, Tianfu and Zhang, Zilong and Zhao, Zhibin and Sun, Chuang and Yan, Ruqiang and Chen, Xuefeng},
  journal={IEEE Transactions on Instrumentation and Measurement},
  volume={70},
  pages={1--11},
  year={2021},
  publisher={IEEE}
}

    10. Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions
      Tianfu Li, Zhibin Zhao, Chuang Sun, Ruqiang Yan and Xuefeng Chen
      IEEE Transactions on Instrumentation and Measurement, 2021
      [bibtex] [link]

      @article{li2021domain,
  title={Domain adversarial graph convolutional network for fault diagnosis under variable working conditions},
  author={Li, Tianfu and Zhao, Zhibin and Sun, Chuang and Yan, Ruqiang and Chen, Xuefeng},
  journal={IEEE Transactions on Instrumentation and Measurement},
  volume={70},
  pages={1--10},
  year={2021},
  publisher={IEEE}
}

    11. Deep Learning-Based Open Set Fault Diagnosis by Extreme Value Theory
      Xiaolei Yu, Zhibin Zhao, Xingwu Zhang, Qiyang Zhang, Yilong Liu, Chuang Sun and Xuefeng Chen
      IEEE Transactions on Industrial Informatics, 2021
      [bibtex] [link]

      @article{yu2021deep,
  title={Deep Learning-Based Open Set Fault Diagnosis by Extreme Value Theory},
  author={Yu, Xiaolei and Zhao, Zhibin and Zhang, Xingwu and Zhang, Qiyang and Liu, Yilong and Sun, Chuang and Chen, Xuefeng},
  journal={IEEE Transactions on Industrial Informatics},
  year={2021},
  publisher={IEEE}
}

    12. Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis
      Qiyang Zhang, Zhibin Zhao, Xingwu Zhang, Yilong Liu, Chuang Sun, Ming Li, Shibin Wang and Xuefeng Chen
      IEEE Transactions on Instrumentation and Measurement, 2021
      [bibtex] [link]

      @article{zhang2021conditional,
  title={Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis},
  author={Zhang, Qiyang and Zhao, Zhibin and Zhang, Xingwu and Liu, Yilong and Sun, Chuang and Li, Ming and Wang, Shibin and Chen, Xuefeng},
  journal={IEEE Transactions on Instrumentation and Measurement},
  volume={70},
  pages={1--15},
  year={2021},
  publisher={IEEE}
}

    13. Robust enhanced trend filtering with unknown noise
      Zhibin Zhao, Shibin Wang, David Wong, Chuang Sun, Ruqiang Yan and Xuefeng Chen
      Signal Processing, 2021
      [bibtex] [link] [codes]

      @article{zhao2021robust,
  title={Robust enhanced trend filtering with unknown noise},
  author={Zhao, Zhibin and Wang, Shibin and Wong, David and Sun, Chuang and Yan, Ruqiang and Chen, Xuefeng},
  journal={Signal Processing},
  volume={180},
  pages={107889},
  year={2021},
  publisher={Elsevier}
}

    14. WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis
      Tianfu Li, Zhibin Zhao, Chuang Sun, Li Cheng, Xuefeng Chen, Ruqiang Yan and Robert X Gao
      IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
      [bibtex] [arXiv] [codes]

      @article{li2019waveletkernelnet,
  title={WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis},
  author={Li, Tianfu and Zhao, Zhibin and Sun, Chuang and Cheng, Li and Chen, Xuefeng and Yan, Ruqaing and Gao, Robert X},
  journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems},
  year={2021},
  publisher={IEEE}
}

    15. Multi-receptive Field Graph Convolutional Networks for Machine Fault Diagnosis
      Tianfu Li, Zhibin Zhao, Chuang Sun, Ruqiang Yan and Xuefeng Chen
      IEEE Transactions on Industrial Electronics, 2020
      [bibtex] [link]

      @article{li2020multi,
  title={Multi-receptive Field Graph Convolutional Networks for Machine Fault Diagnosis},
  author={Li, Tianfu and Zhao, Zhibin and Sun, Chuang and Yan, Ruqiang and Chen, Xuefeng},
  journal={IEEE Transactions on Industrial Electronics},
  year={2020},
  publisher={IEEE}
}

    16. Interpreting network knowledge with attention mechanism for bearing fault diagnosis
      Zhibo Yang, Junpeng Zhang, Zhibin Zhao, Zhi Zhai and Xuefeng Chen
      Applied Soft Computing, 2020
      [bibtex] [link]

      @article{yang2020interpreting,
  title={Interpreting network knowledge with attention mechanism for bearing fault diagnosis},
  author={Yang, Zhi-bo and Zhang, Jun-peng and Zhao, Zhi-bin and Zhai, Zhi and Chen, Xue-feng},
  journal={Applied Soft Computing},
  volume={97},
  pages={106829},
  year={2020},
  publisher={Elsevier}
}

    17. A U-Net-Based Approach for Tool Wear Area Detection and Identification
      Huihui Miao, Zhibin Zhao, Chuang Sun, Bing Li and Ruqiang Yan
      IEEE Transactions on Instrumentation and Measurement, 2020
      [bibtex] [link]

      @article{miao2020u,
  title={A U-Net-Based Approach for Tool Wear Area Detection and Identification},
  author={Miao, Huihui and Zhao, Zhibin and Sun, Chuang and Li, Bing and Yan, Ruqiang},
  journal={IEEE Transactions on Instrumentation and Measurement},
  volume={70},
  pages={1--10},
  year={2020},
  publisher={IEEE}
}

    18. Faster Multiscale Dictionary Learning Method With Adaptive Parameter Estimation for Fault Diagnosis of Traction Motor Bearings
      Zilong Zhang, Zhibin Zhao, Xiaolong Li, Xingwu Zhang, Shibin Wang, Ruqiang Yan and Xuefeng Chen
      IEEE Transactions on Instrumentation and Measurement, 2020
      [bibtex] [link]

      @article{zhang2020faster,
  title={Faster Multiscale Dictionary Learning Method With Adaptive Parameter Estimation for Fault Diagnosis of Traction Motor Bearings},
  author={Zhang, Zilong and Zhao, Zhibin and Li, Xiaolong and Zhang, Xingwu and Wang, Shibin and Yan, Ruqiang and Chen, Xuefeng},
  journal={IEEE Transactions on Instrumentation and Measurement},
  volume={70},
  pages={1--13},
  year={2020},
  publisher={IEEE}
}

    19. Conditional Adversarial Domain Adaptation With Discrimination Embedding for Locomotive Fault Diagnosis
      Xiaolei Yu, Zhibin Zhao, Xingwu Zhang, Chuang Sun, Baogui Gong, Ruqiang Yan and Xuefeng Chen
      IEEE Transactions on Instrumentation and Measurement, 2020
      [bibtex] [link]

      @article{yu2020conditional,
  title={Conditional Adversarial Domain Adaptation With Discrimination Embedding for Locomotive Fault Diagnosis},
  author={Yu, Xiaolei and Zhao, Zhibin and Zhang, Xingwu and Sun, Chuang and Gong, Baogui and Yan, Ruqiang and Chen, Xuefeng},
  journal={IEEE Transactions on Instrumentation and Measurement},
  volume={70},
  pages={1--12},
  year={2020},
  publisher={IEEE}
}

    20. Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study
      Zhibin Zhao, Tianfu Li, Jingyao Wu, Chuang Sun, Shibin Wang, Ruqiang Yan and Xuefeng Chen
      ISA Transactions, 2020
      [bibtex] [link] [arXiv] [codes]

      @article{zhao2020deep,
  title={Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study},
  author={Zhibin Zhao and Tianfu Li and Jingyao Wu and Chuang Sun and Shibin Wang and Ruqiang Yan and Xuefeng Chen},
  journal={ISA Transactions},
  year={2020}
  publisher={Elsevier}
}

    21. Particle-Laden Droplet-Driven Triboelectric Nanogenerator for Real-Time Sediment Monitoring using Deep Learning Method
      Lei Yang, Yunfei Wang, Zhibin Zhao, Yanjie Guo, Sicheng Chen, Weiqiang Zhang and Xiao Guo
      ACS Applied Materials & Interfaces, 2020
      [bibtex] [link]

      @article{yang2020particle,
  title={Particle-Laden Droplet-Driven Triboelectric Nanogenerator for Real-Time Sediment Monitoring using Deep Learning Method},
  author={Yang, Lei and Wang, Yunfei and Zhao, Zhibin and Guo, Yanjie and Chen, Sicheng and Zhang, Weiqiang and Guo, Xiao},
  journal={ACS Applied Materials \& Interfaces},
  year={2020},
  publisher={ACS Publications}
}

    22. Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
      Jingyao Wu, Zhibin Zhao, Chuang Sun, Ruqiang Yan and Xuefeng Chen
      Measurement, 2020
      [bibtex] [link] [codes]

      @article{wu2020few,
  title={Few-shot transfer learning for intelligent fault diagnosis of machine},
  author={Wu, Jingyao and Zhao, Zhibin and Sun, Chuang and Yan, Ruqiang and Chen, Xuefeng},
  journal={Measurement},
  volume={166},
  pages={108202},
  year={2020},
  publisher={Elsevier}
}

    23. The discerning eye of computer vision: Can it measure Parkinson's finger tap bradykinesia?
      Stefan Williams, Zhibin Zhao, Awais Hafeez, David C. Wong, Samuel D. Relton, Hui Fang, Jane E. Alty
      Journal of the Neurological Sciences, 2020.
      [bibtex] [link]

      @article{williams2020discerning,
  title={The discerning eye of computer vision: Can it measure Parkinson's finger tap bradykinesia?},
  author={Williams, Stefan and Zhao, Zhibin and Hafeez, Awais and Wong, David C. and Relton, Samuel D. and Fang Hui and Alty Jane E.},
  journal={Journal of the Neurological Sciences},
  year={2020},
  publisher={Elsevier}
}

    24. Adaptive Channel Weighted CNN with Multi-Sensor Fusion for Condition Monitoring of Helicopter Transmission System
      Tianfu Li, Zhibin Zhao, Chuang Sun, Ruqiang Yan, Xuefeng Chen
      IEEE Sensors Journal, 2020.
      [bibtex] [link]

      @article{li2020adaptive,
  title={Adaptive Channel Weighted CNN with Multi-Sensor Fusion for Condition Monitoring of Helicopter Transmission System},
  author={Li, Tianfu and Zhao, Zhibin and Sun, Chuang and Yan, Ruqiang and Chen, Xuefeng},
  journal={IEEE Sensors Journal},
  year={2020},
  publisher={IEEE}
}

    25. Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection
      Jingyao Wu, Zhibin Zhao, Chuang Sun, Ruqiang Yan, Xuefeng Chen
      IEEE Transactions on Industrial Informatics, 2020.
      [bibtex] [link] [codes]

      @article{wu2020fault,
  title={Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection},
  author={Wu, Jingyao and Zhao, Zhibin and Sun, Chuang and Yan, Ruqiang and Chen, Xuefeng},
  journal={IEEE Transactions on Industrial Informatics},
  year={2020},
  publisher={IEEE}
}

    26. Sparsity-assisted Fault Feature Enhancement: Algorithm-aware versus Model-aware
      Zhibin Zhao Shibin Wang, Weixin Xu, Shuming Wu, David Wong, Xuefeng Chen
      IEEE Transactions on Instrumentation and Measurement, 2020.
      [bibtex] [link] [codes]

      @article{zhao2020sparsity,
  title={Sparsity-assisted Fault Feature Enhancement: Algorithm-aware versus Model-aware},
  author={Zhao, Zhibin and Wang, Shibin and Xu, Weixin and Wu, Shuming and Wong, David and Chen, Xuefeng},
  journal={IEEE Transactions on Instrumentation and Measurement},
  year={2020},
  publisher={IEEE}
}

    27. An Adaptive On-line Blade Health Monitoring Method: from Raw Data to Parameters Identification
      Shuming Wu, Pete Russhard, Ruqiang Yan, Shaohua Tian, Shibin Wang, Zhibin Zhao, Xuefeng Chen
      IEEE Transactions on Instrumentation and Measurement, 2020.
      [bibtex] [link]

      @article{wu2020adaptive,
  title={An Adaptive On-line Blade Health Monitoring Method: from Raw Data to Parameters Identification},
  author={Wu, Shuming and Russhard, Pete and Yan, Ruqiang and Tian, Shaohua and Wang, Shibin and Zhao, Zhibin and Chen, Xuefeng},
  journal={IEEE Transactions on Instrumentation and Measurement},
  year={2020},
  publisher={IEEE}
}

    28. Interval variable step-size spline adaptive filter for the identification of nonlinear block-oriented system
      Liangdong Yang, Jinxin Liu, Zhibin Zhao, Ruqiang Yan and Xuefeng Chen
      Nonlinear Dynamics, 2019.
      [bibtex] [link]

      @article{yang2019interval,
  title={Interval variable step-size spline adaptive filter for the identification of nonlinear block-oriented system},
  author={Yang, Liangdong and Liu, Jinxin and Zhao, Zhibin and Yan, Ruqiang and Chen, Xuefeng},
  journal={Nonlinear Dynamics},
  pages={1--15},
  year={2019},
  publisher={Springer}
}

    29. Sparsity-assisted bearing fault diagnosis using multiscale period group lasso
      Botao An, Zhibin Zhao, Shibin Wang, Shaowen Chen and Xuefeng Chen
      ISA transactions, 2019.
      [bibtex] [link]

      @article{an2019sparsity,
  title={Sparsity-assisted bearing fault diagnosis using multiscale period group lasso},
  author={An, Botao and Zhao, Zhibin and Wang, Shibin and Chen, Shaowen and Chen, Xuefeng},
  journal={ISA transactions},
  year={2019},
  publisher={Elsevier}
}

    30. Hierarchical hyper-Laplacian prior for weak fault feature enhancement
      Zhibin Zhao, Shibin Wang, Botao An, Yanjie Guo and Xuefeng Chen
      ISA transactions, 2019.
      [bibtex] [link] [codes]

      @article{zhao2019hierarchical,
  title={Hierarchical hyper-Laplacian prior for weak fault feature enhancement},
  author={Zhao, Zhibin and Wang, Shibin and An, Botao and Guo, Yanjie and Chen, Xuefeng},
  journal={ISA transactions},
  volume={96},
  pages={429--443},
  year={2020},
  publisher={Elsevier}
}

    31. Physical Constraints Fused Equiangular Tight Frame Method for Blade Tip Timing Sensor Arrangement
      Shuming Wu, Zhibin Zhao, Zhibo Yang, Shaohua Tian, Laihao Yang and Xuefeng Chen
      Measurement, 2019.
      [bibtex] [link]

      @article{wu2019physical,
  title={Physical Constraints Fused Equiangular Tight Frame Method for Blade Tip Timing Sensor Arrangement},
  author={Wu, Shuming and Zhao, Zhibin and Yang, Zhibo and Tian, Shaohua and Yang, Laihao and Chen, Xuefeng},
  journal={Measurement},
  year={2019},
  publisher={Elsevier}
}

    32. A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis
      Zhibin Zhao, Baijie Qiao, Shibin Wang, Zhixian Shen and Xuefeng Chen
      Journal of Sound and Vibration, 2019.
      [bibtex] [link] [codes]

      @article{zhao2019weighted,
  title={A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis},
  author={Zhao, Zhibin and Qiao, Baijie and Wang, Shibin and Shen, Zhixian and Chen, Xuefeng},
  journal={Journal of Sound and Vibration},
  volume={446},
  pages={429--452},
  year={2019},
  publisher={Elsevier}
}

    33. Group sparse regularization for impact force identification in time domain
      Baijie Qiao, Zhu Mao, Jinxin Liu, Zhibin Zhao and Xuefeng Chen
      Journal of Sound and Vibration, 2019.
      [bibtex] [link]

      @article{qiao2019group,
  title={Group sparse regularization for impact force identification in time domain},
  author={Qiao, Baijie and Mao, Zhu and Liu, Jinxin and Zhao, Zhibin and Chen, Xuefeng},
  journal={Journal of Sound and Vibration},
  volume={445},
  pages={44--63},
  year={2019},
  publisher={Elsevier}
}

    34. Data-driven multiscale sparse representation for bearing fault diagnosis in wind turbine
      Yanjie Guo, Zhibin Zhao, Ruobin Sun and Xuefeng Chen
      Wind Energy, 2019.(Cover)
      [bibtex] [link]

      @article{guo2019data,
  title={Data-driven multiscale sparse representation for bearing fault diagnosis in wind turbine},
  author={Guo, Yanjie and Zhao, Zhibin and Sun, Ruobin and Chen, Xuefeng},
  journal={Wind Energy},
  volume={22},
  number={4},
  pages={587--604},
  year={2019},
  publisher={Wiley Online Library}
}

    35. Sparse Multiperiod Group Lasso for Bearing Multifault Diagnosis
      Zhibin Zhao, Shibin Wang, Chuang Sun, Ruqiang Yan, and Xuefeng Chen
      IEEE Transactions on Instrumentation and Measurement, 2019.
      [bibtex] [link] [codes]

      @article{zhao2019sparse,
  title={Sparse Multiperiod Group Lasso for Bearing Multifault Diagnosis},
  author={Zhao, Zhibin and Wang, Shibin and Sun, Chuang and Yan, Ruqiang and Chen, Xuefeng},
  journal={IEEE Transactions on Instrumentation and Measurement},
  volume={69},
  number={2},
  pages={419--431},
  year={2020},
  publisher={IEEE}
}

    36. Robust Working Mechanism of Water Droplet‐Driven Triboelectric Nanogenerator: Triboelectric Output versus Dynamic Motion of Water Droplet
      Lei Yang, Yunfei Wang, Yanjie Guo, Weiqiang Zhang and Zhibin Zhao
      Advanced Materials Interfaces, 2019.(Cover)
      [bibtex] [link]

      @article{yang2019robust,
  title={Robust Working Mechanism of Water Droplet-Driven Triboelectric Nanogenerator: Triboelectric Output versus Dynamic Motion of Water Droplet},
  author={Yang, Lei and Wang, Yunfei and Guo, Yanjie and Zhang, Weiqiang and Zhao, Zhibin},
  journal={Advanced Materials Interfaces},
  year={2019},
  publisher={Wiley Online Library}
}

    37. Enhancing Sparse Decomposition Based Blade vibration Parameter Identification (in Chinese)
      Shuming Wu, Haifeng Hu, Zhibin Zhao, Zhibo Yang Laihao Yang, Shaohua Tian and Xuefeng Chen
      机械工程学报, 2019.
      [bibtex] [link]

      @article{wu2020enhancing,
  title={增强稀疏分解及其在叶片振动参数识别中的应用},
  author={吴淑明 and 胡海峰 and 赵志斌 and 杨志勃 and 杨来浩 and 田绍华 and 陈雪峰},
  journal={机械工程学报},
  volume={55},
  number={19},
  pages={19--27},
  year={2020}
}

    38. Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing
      Chuang Sun, Meng Ma, Zhibin Zhao, Shaohua Tian, Ruqiang Yan and Xuefeng Chen
      IEEE Transactions on Industrial Informatics, 2018.
      [bibtex] [link]

      @article{sun2018deep,
  title={Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing},
  author={Sun, Chuang and Ma, Meng and Zhao, Zhibin and Tian, Shaohua and Yan, Ruqiang and Chen, Xuefeng},
  journal={IEEE Transactions on Industrial Informatics},
  volume={15},
  number={4},
  pages={2416--2425},
  year={2018},
  publisher={IEEE}
}

    39. Enhanced sparse period-group lasso for bearing fault diagnosis
      Zhibin Zhao, Shuming Wu, Baijie Qiao, Shibin Wang and Xuefeng Chen
      IEEE Transactions on Industrial Electronics, 2018.
      [bibtex] [link] [codes]

      @article{zhao2018enhanced,
  title={Enhanced sparse period-group lasso for bearing fault diagnosis},
  author={Zhao, Zhibin and Wu, Shuming and Qiao, Baijie and Wang, Shibin and Chen, Xuefeng},
  journal={IEEE Transactions on Industrial Electronics},
  volume={66},
  number={3},
  pages={2143--2153},
  year={2018},
  publisher={IEEE}
}

    40. Sparse deep stacking network for fault diagnosis of motor
      Chuang Sun, Meng Ma, Zhibin Zhao and Xuefeng Chen
      IEEE Transactions on Industrial Informatics, 2018.
      [bibtex] [link]

      @article{sun2018sparse,
  title={Sparse deep stacking network for fault diagnosis of motor},
  author={Sun, Chuang and Ma, Meng and Zhao, Zhibin and Chen, Xuefeng},
  journal={IEEE Transactions on Industrial Informatics},
  volume={14},
  number={7},
  pages={3261--3270},
  year={2018},
  publisher={IEEE}
}

    41. Wind turbine diagnosis under variable speed conditions using a single sensor based on the synchrosqueezing transform method
      Yanjie Guo, Xuefeng Chen, Shibin Wang, Ruobin Sun and Zhibin Zhao
      Sensors, 2017.
      [bibtex] [link]

      @article{guo2017wind,
  title={Wind turbine diagnosis under variable speed conditions using a single sensor based on the synchrosqueezing transform method},
  author={Guo, Yanjie and Chen, Xuefeng and Wang, Shibin and Sun, Ruobin and Zhao, Zhibin},
  journal={Sensors},
  volume={17},
  number={5},
  pages={1149},
  year={2017},
  publisher={Multidisciplinary Digital Publishing Institute}
}

    42. Matching synchrosqueezing wavelet transform and application to aeroengine vibration monitoring
      Shibin Wang, Xuefeng Chen, Chaowei Tong and Zhibin Zhao
      IEEE Transactions on Instrumentation and Measurement, 2017.
      [bibtex] [link]

      @article{wang2016matching,
  title={Matching synchrosqueezing wavelet transform and application to aeroengine vibration monitoring},
  author={Wang, Shibin and Chen, Xuefeng and Tong, Chaowei and Zhao, Zhibin},
  journal={IEEE Transactions on Instrumentation and Measurement},
  volume={66},
  number={2},
  pages={360--372},
  year={2016},
  publisher={IEEE}
}

    Conference Publications

    1. Machine Anomaly Detection under Changing Working Condition with Syncretic Self-Regression Auto-Encoder
      Jingyao Wu, Zhibin Zhao, Hongbing Shang, Chuang Sun, Ruqiang Yan and Xuefeng Chen
      2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2021.
      [bibtex] [link]

      @inproceedings{wu2021machine,
  title={Machine Anomaly Detection under Changing Working Condition with Syncretic Self-Regression Auto-Encoder},
  author={Wu, Jingyao and Zhao, Zhibin and Shang, Hongbing and Sun, Chuang and Yan, Ruqiang and Chen, Xuefeng},
  booktitle={2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)},
  pages={1--5},
  year={2021},
  organization={IEEE}
}

    2. Adaptive lead weighted ResNet trained with different duration signals for classifying 12-lead ECGs
      Zhibin Zhao, Hui Fang, Samuel Relton, Ruqiang Yan, Yuhong Liu, Zhijing Li, Jing Qin and David Wong
      2020 Computing in Cardiology Conference, 2020.
      [bibtex] [link] [2nd in the CinC/Physionet challenge2020] [codes]

      @inproceedings{zhao2020adaptive,
  title={Adaptive lead weighted ResNet trained with different duration signals for classifying 12-lead ECGs},
  author={Zhao, Zhibin and Fang, Hui and Relton, Samuel D and Yan, Ruqiang and Liu, Yuhong and Li, Zhijing and Qin, Jing and Wong, David C},
  booktitle={2020 Computing in Cardiology Conference},
  year={2020}
}

    3. Probabilistic Remaining Useful Life Prediction Based on Deep Convolutional Neural Network
      Zhibin Zhao, Jingyao Wu, David Wong, Chuang Sun and Ruqiang Yan
      TESConf 2020 - 9th International Conference on Through-life Engineering Services, 2020.
      [bibtex] [link] [codes]

      @inproceedings{zhao2020probabilistic,
  title={Probabilistic Remaining Useful Life Prediction Based on Deep Convolutional Neural Network},
  author={Zhao, Zhibin and Wu, Jingyao and Wong, David and Sun, Chuang and Yan, Ruqiang},
  booktitle={TESConf 2020 - 9th International Conference on Through-life Engineering Services},
  year={2020}
}

    4. Coupling Deep Models and Extreme Value Theory for Open Set Fault Diagnosis
      Xiaolei Yu, Zhibin Zhao, Xingwu Zhang, Chuang Sun, Qiyang Zhang and Xuefeng Chen
      2020 International Conference on Sensing, Measurement \& Data Analytics in the era of Artificial Intelligence (ICSMD), 2020.
      [bibtex] [link]

      @inproceedings{yu2020coupling,
  title={Coupling Deep Models and Extreme Value Theory for Open Set Fault Diagnosis},
  author={Yu, Xiaolei and Zhao, Zhibin and Zhang, Xingwu and Sun, Chuang and Zhang, Qiyang and Chen, Xuefeng},
  booktitle={2020 International Conference on Sensing, Measurement \& Data Analytics in the era of Artificial Intelligence (ICSMD)},
  pages={118--123},
  year={2020},
  organization={IEEE}
}

    5. Differentiable Architecture Search for Aeroengine Bevel Gear Fault Diagnosis
      Zheng zhou, Tianfu Li, Zhibin Zhao, Chuang Sun, Ruqiang Yan and Xuefeng Chen
      2020 International Conference on Sensing, Measurement \& Data Analytics in the era of Artificial Intelligence (ICSMD), 2020.
      [bibtex] [link]

      @inproceedings{zhou2020differentiable,
  title={Differentiable Architecture Search for Aeroengine Bevel Gear Fault Diagnosis},
  author={Zhou, Zheng and Li, Tianfu and Zhao, Zhibin and Sun, Chuang and Yan, Ruqiang and Chen, Xuefeng},
  booktitle={2020 International Conference on Sensing, Measurement \& Data Analytics in the era of Artificial Intelligence (ICSMD)},
  pages={270--274},
  year={2020},
  organization={IEEE}
}

    6. Time series clustering to examine presence of decrement in Parkinson’s finger-tapping bradykinesia
      Zhibin Zhao, Hui Fang, Stefan Williams, Samuel D Relton, Jane Alty, Alex J Casson and David C Wong
      2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020.
      [bibtex] [link]

      @inproceedings{zhao2020time,
  title={Time series clustering to examine presence of decrement in Parkinson’s finger-tapping bradykinesia},
  author={Zhao, Zhibin and Fang, Hui and Williams, Stefan and Relton, Samuel D and Alty, Jane and Casson, Alex J and Wong, David C},
  booktitle={2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC)},
  pages={780--783},
  year={2020},
  organization={IEEE}
}

    7. The sparse and low-rank interpretation of SVD-based denoising for vibration signals
      Zhibin Zhao, Shibin Wang, David Wong, Yanjie Guo and Xuefeng Chen
      2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2020.
      [bibtex] [link]

      @inproceedings{zhao2020the,
  title={The sparse and low-rank interpretation of SVD-based denoising for vibration signals},
  author={Zhao, Zhibin and Wang, Shibin and Wong, David and Guo, Yanjie and Chen, Xuefeng},
  booktitle={2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)},
  pages={1--5},
  year={2020},
  organization={IEEE}
}

    8. Multi-scale CNN for Multi-sensor Feature Fusion in Helical Gear Fault Detection
      Tianfu Li, Zhibin Zhao, Chuang Sun, Ruqiang Yan and Xuefeng Chen
      the 8th International Conference on Through-Life Engineering Service (TESConf 2019)</b>, 2019.
      [bibtex] [link]

      @article{li2020multi,
  title={Multi-scale CNN for multi-sensor feature fusion in helical gear fault detection},
  author={Li, Tianfu and Zhao, Zhibin and Sun, Chuang and Yan, Ruqiang and Chen, Xuefeng},
  journal={Procedia Manufacturing},
  volume={49},
  pages={89--93},
  year={2020},
  publisher={Elsevier}
}

    9. Ss-InfoGAN for Class-Imbalance Classification of Bearing Faults
      Jingyao Wu, Zhibin Zhao, Chuang Sun, Ruqiang Yan and Xuefeng Chen
      the 8th International Conference on Through-Life Engineering Service (TESConf 2019)</b>, 2019.
      [bibtex] [link]

      @article{wu2020ss,
  title={Ss-InfoGAN for Class-Imbalance Classification of Bearing Faults},
  author={Wu, Jingyao and Zhao, Zhibin and Sun, Chuang and Yan, Ruqiang and Chen, Xuefeng},
  journal={Procedia Manufacturing},
  volume={49},
  pages={99--104},
  year={2020},
  publisher={Elsevier}
}

    10. Blade Tip Timing: from Raw Data to Parameters Identification
      Shuming Wu, Xuefeng Chen, Pete Russhard, Ruqiang Yan, Shaohua Tian, Shibin Wang and Zhibin Zhao
      2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2019.
      [bibtex] [link]

      @inproceedings{wu2019blade,
  title={Blade Tip Timing: from Raw Data to Parameters Identification},
  author={Wu, Shuming and Chen, Xuefeng and Russhard, Pete and Yan, Ruqiang and Tian, Shaohua and Wang, Shibin and Zhao, Zhibin},
  booktitle={2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)},
  pages={1--5},
  year={2019},
  organization={IEEE}
}

    11. Bearing Fault Diagnosis Using Hyper-Laplacian Priors and Non-convex Optimization
      Zhibin Zhao, Botao An, Shibin Wang, Baijie Qiao, Chuang Sun and Xuefeng Chen
      2018 Prognostics and System Health Management Conference (PHM-Chongqing), 2018.
      [bibtex] [link]

      @inproceedings{zhao2018bearing,
  title={Bearing Fault Diagnosis Using Hyper-Laplacian Priors and Non-convex Optimization},
  author={Zhao, Zhibin and An, Botao and Wang, Shibin and Qiao, Baijie and Sun, Chuang and Chen, Xuefeng},
  booktitle={2018 Prognostics and System Health Management Conference (PHM-Chongqing)},
  pages={1239--1244},
  year={2018},
  organization={IEEE}
}

    12. Foreign Object Damage Diagnosis of Aero-Engine Compressor Based on Damping Averaging Built-in Matrix Method
      Shuming Wu, Xuefeng Chen, Pete Russhard, Shibin Wang, Zhi Zhai and Zhibin Zhao
      ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition, 2018.
      [bibtex] [link]

      @inproceedings{wu2018foreign,
  title={Foreign Object Damage Diagnosis of Aero-Engine Compressor Based on Damping Averaging Built-in Matrix Method},
  author={Wu, Shuming and Chen, Xuefeng and Russhard, Pete and Wang, Shibin and Zhai, Zhi and Zhao, Zhibin},
  booktitle={ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition},
  year={2018},
  organization={American Society of Mechanical Engineers Digital Collection}
}

    13. Periodic overlapping group elastic net for fault diagnosis
      Zhibin Zhao, Xuefeng Chen, Shibin Wang and Shaohua Tian
      2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2018.
      [bibtex] [link]

      @inproceedings{zhao2018periodic,
  title={Periodic overlapping group elastic net for fault diagnosis},
  author={Zhao, Zhibin and Chen, Xuefeng and Wang, Shibin and Tian, Shaohua},
  booktitle={2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)},
  pages={1--6},
  year={2018},
  organization={IEEE}
}

    14. TQWT-based multi-scale dictionary learning for rotating machinery fault diagnosis
      Zhibin Zhao, Xuefeng Chen, Baoqing Ding and Shuming Wu
      2017 13th IEEE Conference on Automation Science and Engineering (CASE), 2017.
      [bibtex] [link]

      @inproceedings{zhao2017tqwt,
  title={TQWT-based multi-scale dictionary learning for rotating machinery fault diagnosis},
  author={Zhao, Zhibin and Chen, Xuefeng and Ding, Baoqing and Wu, Shuming},
  booktitle={2017 13th IEEE Conference on Automation Science and Engineering (CASE)},
  pages={554--559},
  year={2017},
  organization={IEEE}
}

    15. Data-driven discriminative K-SVD for bearing fault diagnosis
      Shuming Wu, Xuefeng Chen, Zhibin Zhao and Ruonan Liu
      2017 Prognostics and System Health Management Conference (PHM-Harbin), 2017.
      [bibtex] [link]

      @inproceedings{wu2017data,
  title={Data-driven discriminative K-SVD for bearing fault diagnosis},
  author={Wu, Shuming and Chen, Xuefeng and Zhao, Zhibin and Liu, Ruonan},
  booktitle={2017 Prognostics and System Health Management Conference (PHM-Harbin)},
  pages={1--6},
  year={2017},
  organization={IEEE}
}

    16. Feature ensemble learning using stacked denoising autoencoders for induction motor fault diagnosis
      Junwei Wang, Chuang Sun, Zhibin Zhao and Xuefeng Chen
      2017 Prognostics and System Health Management Conference (PHM-Harbin), 2017.
      [bibtex] [link]

      @inproceedings{wang2017feature,
  title={Feature ensemble learning using stacked denoising autoencoders for induction motor fault diagnosis},
  author={Wang, Junwei and Sun, Chuang and Zhao, Zhibin and Chen, Xuefeng},
  booktitle={2017 Prognostics and System Health Management Conference (PHM-Harbin)},
  pages={1--6},
  year={2017},
  organization={IEEE}
}