江苏省“六大人才高峰”，长期从事机电装备智能测控、故障机理建模、动态信号处理与特征提取、健康监测与智能故障诊断、智能运维等理论、方法与工程应用研究。负责或参与完成国家“863”计划项目4项、国家自然科学基金项目6项、江苏省重大科技成果转化项目5项、江苏省科技支撑、省自然基金等其他省部级科研项目10余项，企业委托科技开发项目50余项，发表SCI/EI论文80余篇，发明专利授权20余件，软件著作权登记5项，获江苏省科技进步三等奖4项，“机械工业科学技术奖”二等奖1项。

1993/9 - 1996/9，73882必赢欢迎光临网址，精密仪器及机械，博士

1991/9 - 1993/8，73882必赢欢迎光临网址，精密仪器及机械，硕士生

1987/9 - 1991/7，吉林工业大学，工业电气自动化，学士

2007/4 - 至今， 73882必赢欢迎光临网址，73882必赢欢迎光临网址，教授

2000/7 – 2000.10 加拿大Concordia大学，访问学者

1999/4 - 2007/4，73882必赢欢迎光临网址，73882必赢欢迎光临网址，副教授

1998.5～1998.10 澳大利亚MONASH大学， 访问学者

1996/9 - 1999/4，73882必赢欢迎光临网址，73882必赢欢迎光临网址，讲师

本科生专业基础课：机械工程测试与控制技术(1)—控制工程基础（双语）、机械工程测试与控制技术(2)—测试技术（双语）

硕士研究生学位课：机械系统信号处理与分析(全英文)

博士研究生课程：动态系统建模与分析

Mechanical Systems and Signal Processing

Measurement

Structural Health Monitoring

振动、测试与诊断

中国振动工程学会理事

中国机械工程学会生产工程分会副主任委员

江苏省仪器仪表学会状态监测与故障诊断仪器专委会副主任委员

江苏省振动工程学会动态测试分析与控制专委会副主任委员

[1]沥青路面道路无人化施工智能控制技术及其产业化，机械工业科学技术奖二等奖，2022

[2]电站检修平台关键技术研发及应用，江苏省科技进步三等奖，2019

[3]基于传感网的机电装备智能监控诊断成套装置，江苏省科技进步三等奖，2014

[4]压缩机组远程工况监测和故障诊断系统，江苏省科技进步三等奖，2003

[5]便携式工况监测与分析诊断系统，江苏省科技进步三等奖，2002

1. Ennan Gao, Yang Ming, Kaiwen Zhao, Yongdong Shu, Feiyun Xu. A hybrid fault diagnosis framework for rudder propellers: Physics-guided learning from data and simulation[J]. Ocean Engineering, 2026:351: 124419

2. Junxian Shen, Ennan Gao, Tianchi Ma, Feiyun Xu An unsupervised mixed-up differential replay mechanism for propagation detection of blade crack[J]. Advanced Engineering Informatics, 2025.68: 103732

3. Chengpei Weng, Wenchang Zhu, Kaiwen Zhao and Feiyun Xu. CBAM-enhanced diffusion model with minimal noise scheduling for data augmentation in fault diagnosis with imbalanced dataset[J]. Measurement Science and Technology, 2025, 36: 116120

4. Junxian Shen , Tianchi Ma , Di Song , Feiyun Xu. An embedded physical information network for blade crack detection considering dynamic multi-level credibility[J]. Mechanical Systems and Signal Processing 2025, (224): 111948

5. Zhao Xun, Xu Feiyun, Liu Zheng. TransDehaze: transformer-enhanced texture attention for end-to-end single image dehaze[J]. Visual Computer, 2025, 41(3): 1621-1635

6. Junxian Shen , Tianchi Ma , Di Song , Feiyun Xu. Quantitative blade damage detection based on multisource domain and multistage joint transfer[J]. Structural Health Monitoring, 2024, 23(6): 3581-3598

7. 沈君贤; 马天池; 宋狄; 许飞云 ; 基于可解释选择性集成框架的离心风机叶片裂纹损伤检测, 机械工程学报, 2024, 60(12): 183-193

8. Tianchi Ma, Junxian Shen, Di Song and Feiyun Xu. A two-level fusion model of vibro-acoustic signals for centrifugal fan blade crack detection[J]. Structural Health Monitoring, 2024, 23(6): 3800-3813

9. Song Di, Ma Tianchi, Shen Junxian, Xu Feiyun. Incremental Learning-Based Quantitative Crack Detection Using Prioritized Experience Replaying and Layered Importance Sampling[J]. IEEE Sensors Journal, 2024, 24(15): 25132-25140

10. Wen Jiakang, Ma Tianchi, Zhang Tao, Xu Feiyun. A compressor blade crack detection method based on the multilevel information fusion of acoustic and vibration signals[J]. Structural Health Monitoring, 2024, DOI: 10.1177/14759217241283353

11. Wang Qiang, Xu Feiyun, Ma Tianchi. Wavelet packet decomposition with motif patterns for rolling bearing fault diagnosis under variable working loads[J]. Journal of Vibration and Control, 2024, DOI: 10.1177/10775463241229512

12. Shen Junxian, Ma Tianchi, Song Di, Xu Feiyun. Incremental learning BiLSTM based on dynamic proportional adjustment mechanism and experience replay for quantitative detection of blade crack propagation[J]. Structural Health Monitoring, 2024, 23(2):733-749

13. Liu Wenyu, Wang Qiang, Xu, Feiyun. Multi-sensor gearbox fault diagnosis using generalized minimum entropy deconvolution and main frequency center extraction[J]. Measurement Science and Technology, 2024, 35(1): 015117. DOI: 10.1088/1361-6501/ad00cf

14. Di Song, Junxian Shen, Tianchi Ma, Feiyun Xu. Multi-objective acoustic sensor placement optimization for crack detection of compressor blade based on reinforcement learning[J]. Mechanical Systems and Signal Processing, 2023,197:110350

15. Tianchi Ma, Junxian Shen, Di Song, Feiyun Xu. A vibro-acoustic signals hybrid fusion model for blade crack detection[J]. Mechanical Systems and Signal Processing, 2023, 204: 110815

16. Junxian Shen, Di Song, Tianchi Ma, Feiyun Xu. Blade crack detection based on domain adaptation and autoencoder of multidimensional vibro-acoustic feature fusion[J]. Structural Health Monitoring, 2023: 22(5):3498-3513

17. Di Song, Junxian Shen, Tianchi Ma, Feiyun Xu. Two-level fusion of multi-sensor information for compressor blade crack detection based on self-attention mechanism[J]. Structural Health Monitoring, 2023, 22(3): 1911-1926

18. Tianchi Ma, Di Song, Junxian Shen, Feiyun Xu. Blade crack detection using variational model decomposition and time-delayed feedback nonlinear tri-stable stochastic resonance[J]. Structural Health Monitoring, 2023, 22(2): 1478-1493

19. Di Song, Feiyun Xu, Jianzhong Hu, Tianchi Ma. Fault feature recognition of centrifugal compressor with cracked blade based on SNR estimation and adaptive stochastic resonance[J]. Structural Health Monitoring, 2023, 22(1): 131-150

20. Junxian Shen, Tianchi Ma, Di Song, Feiyun Xu. Incremental learning BiLSTM based on dynamic proportional adjustment mechanism and experience replay for quantitative detection of blade crack propagation[J]. Structural Health Monitoring, 2023, 22(1):1-17. DOI: 10.1177/14759217231170723

21. Di Song, Tianchi Ma, Junxian Shen, Feiyun Xu. Multiobjective-Based Acoustic Sensor Configuration for Structural Health Monitoring of Compressor Blade[J]. IEEE Sensors Journal, 2023, 23(13): 14737-14745

22. Di Song, Junxian Shen, Tianchi Ma, Feiyun Xu. Acoustic Sensor Placement Optimization for Compressor Based on Adversarial Transfer Learning and Vibro-Acoustic Simulation[J]. IEEE Sensors Journal, 2023, 23(12): 13539-13547

23. Li Y, Xu F, Chi-Guhn Lee, Self-supervised meta learning generative adversarial network for few-shot fault diagnosis of hoisting system with limited data[J], IEEE Transactions on Industrial Informatics, 2022, doi: 10.1109/TII.2022.3178431

24. Tianchi Ma, Junxian Shen, Di Song, Feiyun Xu. Unsaturated piecewise bistable stochastic resonance with three kinds of asymmetries driven by multiplicative and additive noise[J]. Chaos, Solitons & Fractals, 2022, 162: 112457

25. Yang Li, Chi-Guhn Lee, Feiyun Xu. Acoustic emission sources localization and identification of complex metallic structures based on nearfield frequency space sparse decomposition[J]. Structural Control and Health Monitoring, 2022: 3064

26. Di Song, Junxian Shen, Tianchi Ma, Feiyun Xu. Two-level fusion of multi-sensor information for compressor blade crack detection based on self-attention mechanism[J]. Structural Health Monitoring, 2022: 14759217221116599

27. Tianchi Ma, Di Song, Junxian Shen, Feiyun Xu. Unsaturated piecewise bistable stochastic resonance with three kinds of asymmetries and time-delayed feedback[J]. Chaos, Solitons & Fractals, 2022, 161: 112352

28. Tao Zhang, Feiyun Xu, Minping Jia. A centrifugal fan blade damage identification method based on the multi-level fusion of vibro-acoustic signals and CNN[J]. Measurement, 2022, 199: 111475

29. Tianchi Ma, Di Song, Junxian Shen, Feiyun Xu. Blade crack detection using variational model decomposition and time-delayed feedback nonlinear tri-stable stochastic resonance[J]. Structural Health Monitoring, 2022: 14759217221109882

30. Di Song, Tianchi Ma, Yang Li, Feiyun Xu. Data and decision level fusion-based crack detection for compressor blade using acoustic and vibration signal[J]. IEEE Sensor Journal, 2022, 22(12): 12209-12218

31. Yang Li, Chi-Guhn Lee, Feiyun Xu. Multichannel intelligent fault diagnosis of hoisting system using differential search algorithm-variational mode decomposition and improved deep convolutional neural network[J]. Structural Health Monitoring, 2022: 14759217221105646

32. Yang Li, Lei Zou, Chi-Guhn Lee, Feiyun Xu. A progressive decomposing and double screening strategy of VMD for weak fault extraction of hoisting machinery[J]. Structural Control and Health Monitoring, 2022: 3023

33. Di Song, Feiyun Xu, Jianzhong Hu, Tianchi Ma. Fault feature recognition of centrifugal compressor with cracked blade based on SNR estimation and adaptive stochastic resonance[J]. Structural Health Monitoring, 2022: 14759217221084880

34. Shen J. X. and Xu F. Y. Method of fault feature selection and fusion based on poll mode and optimized weighted KPCA for bearings[J]. Measurement, 2022, 194: 110950

35. Song D., Xu F Y and Ma T. C. Crack damage monitoring for compressor blades based on acoustic emission with novel feature and hybridized feature selection[J]. Structural Health Monitoring, 2022, DOI: 10.1177/14759217211068107

36. Chao Li, Feiyun Xu Hongxin Yang and Lei Zou. A rolling element bearing fault feature extraction method based on the EWT and an arctangent threshold function[J]. Journal of Mechanical Science and Technology. 2022, 36(4): 1693-1708, DOI 10.1007/s12206 -022-0306-4.

37. Li Y, Xu F. Acoustic emission sources localization of laser cladding metallic panels using improved fruit fly optimization algorithm-based independent variational mode decomposition[J]. Mechanical Systems and Signal Processing, 2022, 166: 108514 DOI: 10.1016/j.ymssp.2021.108514

38. Li Y, Xu F. Structural damage monitoring for metallic panels based on acoustic emission and adaptive improvement variational mode decomposition–wavelet packet transform[J]. Structural Health Monitoring, 2021, DOI: 10.1177/14759217211008969

39. Li Y, Xu F. Structural condition monitoring and identification of laser cladding metallic panels based on an acoustic emission signal feature optimization algorithm[J]. Structural Health Monitoring, 2021, 20(3): 1052-1073.

40. Li Y, Xu F. Acoustic emission and moving window-improved kernel entropy component analysis for structural condition monitoring of hoisting machinery under various working conditions[J]. Structural Health Monitoring, 2021, DOI: 10.1177/14759217211033627

41. Li Y, Xu F. All-phase fast Fourier transform and multiple cross-correlation analysis based on Geiger iteration for acoustic emission sources localization in complex metallic structures[J]. Structural Health Monitoring, 2021, DOI: 10.1177/14759217211033627

42. Mao, Y., Xu, F., Zhao, X., Yan, X. (2021). A gearbox fault feature extraction method based on wingsuit flying search algorithm optimized orthogonal matching pursuit with a compound time-frequency atom dictionary[J]. Journal of Mechanical Science and Technology, 2021, 35 (11) : 4825~4833. DOI: 10.1007/s12206-021-1002-5

43. Tianchi Ma, Feiyun Xu, Jianzhong Hu, Di Song and Susheng Cao. Double Gaussian potential stochastic resonance method and its application in centrifugal fan blade crack detection[J]. Chinese Journal of Physics, 2021, 74: 279–295

44. Xun Zhao, Lige Xue, Feiyun Xu. Asphalt pavement paving segregation detection method using images accuracy and quality texture features[J]. Construction and building materials, 2020: 14759217209456

45. Pingkun Xu and Feiyun Xu. A real-time spectral analysis method and its FPGA implementation for long-sequence signals. Meas. Sci. Technol, 2020, 31:035006.

46. Lei Zou, Yang Li, Feiyun Xu. An adversarial denoising convolutional neural network for fault diagnosis of rotating machinery under noisy environment and limited sample size case[J]. Neurocomputing, 2020, 407: 105-120

47. Huichao Yang, Feiyun Xu , Jiaxin Ma and Kai Huang. Strain modal-based damage identification method and its application to crane girder without original model[J]. Proc IMechE Part C: J Mechanical Engineering Science, 2018, DOI: 10.1177 /0954406218769924

48. Ma Jiaxin, Xu Feiyun*, Huang Kai, et al. GNAR-GARCH model and its application in feature extraction for fault diagnosis of rotating machinery[J]. Mechanical Systems and Signal Processing, 2017, 93: 175–203

49. Ma Jiaxin, Xu Feiyun*, Huang Kai, et al. Improvement on the linear and nonlinear auto-regressive model for predicting the NOx emission of diesel engine[J]. Neurocomputing, 2016, 207: 150-164

50. Yu Jiang, Feiyun Xu, Bingsheng Xu. Acoustic Emission tomography based on simultaneous algebraic reconstruction technique to visualize the damage source location in Q235B steel plate[J]. Mechanical Systems and Signal Processing, 2015, 64–65: 452-464

1. 国家自然科学基金项目（No. 51975117），透平叶片损伤声振信号传播机理及其在线识别方法研究，2020.01～2023.12，主持，结题

2. 国家自然科学基金项目（No. 51575101），基于近场动力学的大型起重机械结构损伤机理及其识别方法研究，2016.01～2019.12，主持，结题

3. 国家自然科学基金项目（No. 51175079），大型起重机械健康监测与评估的声发射理论和方法研究，2012.01～2015.12，主持，结题

4. 国家自然科学基金项目（No. 51305176），基于模型辨识的在役起重机结构损伤识别理论与方法研究，2014.1～2016.12，参与，结题

5. 国家自然科学基金项目（No. 50875048），基于非负分解的故障特征提取理论与方法研究，2009.01～2011.12，主持，结题

6. 江苏省六大高峰人才项目（No. 2013－ZBZZ－028），基于模型预测控制的SCR控制技术研究，2014.1～2016.12，主持，结题

7. 江苏省重大科技成果转化项目（No. BA2023019），大功率高冰级舵桨智能推进系统系列化研发及产业化, 2023.1~2026.6，校内主持，在研

8. 江苏省重大科技成果转化项目（No. BA2020012），新型高效节能LNG智慧管道研发及产业化, 2020.4~2023.9，校内主持，结题

9. 江苏省重大科技成果转化项目（No. BA2018064），人机交互高可靠性高压/超高压变压器研发及产业化, 2018.4~2021.9，校内主持，结题

10. 江苏省重大科技成果转化项目（No. BA2010070），轨道交通用高可靠性智能牵引整流变压器研发及产业化, 2010.10~2013.10，校内主持，结题

11. 江苏省重大科技成果转化项目（No. BA2010048），基于传感网的机电装备智能监控诊断成套装置研发及产业化，2010.10~2013.10，参与，结题

12. 江苏省产业前瞻与关键核心技术项目（No. BE2019086），空天领域用多参数高可靠性智能传感器关键技术研发，2019.6~2022.6，参与，结题

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7. 授权发明专利：一种基于EEMD的滚动轴承自适应共振解调方法，CN201910142223.4，2020.10.27

8. 授权发明专利：一种无监督深度学习网络的机械故障诊断方法，CN20201810949099.8，2020.3.31

9. 授权发明专利：一种深度自编码网络的旋转机械健康评估方法，CN20201810736521.1，2020.3.31

10. 授权发明专利：一种门座式起重机形变倾角在线监测系统及方法，CN201810240044.X，2019.11.15

11. 授权发明专利：一种电梯闸皮不均匀磨损的检测方法，CN201810086847.4，2019.11.12

12. 授权发明专利：一种塔吊倾角和挠度在线监测系统及数据方法，CN201810240057.7，2019.9.6

13. 授权发明专利：一种基于多因素融合修正的结构件剩余寿命预测方法，CN201510247506.7，2017.11.3

14. 授权发明专利：一种电熔管件智能焊接方法，CN201510203319.9，2017.2.1

15. 授权发明专利：一种桥式起重机主梁结构的损伤识别方法，CN201610824254.4，2016.9.14

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