国内外较早地提出了基于局部均值分解（LMD）、双树复小波变换（DTCWT）、自适应谱峭度（ASK）、压缩感知（CS）、变分模态分解（VMD）和复值变分模态分解（CVMD）等新型动态信号处理与特征提取方法，研究成果发表于本领域Mech. Syst. Signal Process.，Meas. Science Tech.，Measurement和Signal Process.等著名国际期刊。在智能健康监测与预示领域，提出了基于仿射传播算法（AP）、自适应密度峰值快速搜索（ADPS）和加权约束稀疏编码（WCSC）等智能技术的故障智能诊断与状态退化预测方法，成果被Knowledge-based System和IEEE Trans. Industrial Informatics等国际期刊发表或录用。工程应用方面，研究成果已成功应用于煤矿皮带机轴承监测、某型号舰船的振动、噪声状态监测与控制、东风柳汽货车驾驶室减震等领域。

                                                      

代表性论文 

Yanxue Wang, Fang Liu, Aihua Zhu. Bearing fault diagnosis based on a hybrid classifier ensemble approach and the improved Dempster-Shafer theory. Sensors. (2019) 19, 2097, 1-21

Chaofan Hu, Yanxue Wang*, Tangbo Bai. A tensor-based approach for identification of multi-channel bearing compound faults. IEEE Access, (2019), 7:38213-38223

1. Taoyuan Chen, Yanxue Wang*. A novel distribution model of multiple teeth pits for evaluating time-varying mesh stiffness of external spur gears. Mechanical Systems and Signal Processing. 129 (2019) 479-501.

2. Chaofan Hu, Yanxue Wang*. Multidimensional denoising of rotating machine based on tensor factorization. Mechanical Systems and Signal Processing. (2019), Vol. 122, 273-289

3. Yanxue Wang*, Huaxin Li, Jianwei Yang and Dechen Yao. Sparse coding based RUL prediction and its application on roller bearing prognostics. Journal of Intelligent & Fuzzy Systems 34 (2018) 3719-3733.

4. Yanxue Wang*, Zexian Wei, Jianwei Yang. Feature trend extraction and adaptive density peaks search for intelligent fault diagnosis of machine. IEEE Transactions on Industrial Informatics, 2019, Vol.15(1) 105-115.

5. Chaofan Hu, Yanxue Wang*, Jianwei Yang, Suofeng Zhang. Fault Detection in a Multistage Gearbox Based on a Hybrid Demodulation Method Using Modulation Intensity Distribution and Variational Mode Decomposition. Applied Sciences-Basel. 2018, 8(5), 696

6. Yanxue Wang*, Lin Yang, Jiawei Xiang, Shuilong He, Jianwei Yang. A hybrid approach to fault diagnosis of roller bearings under variable speed conditions. Measurement Science and Technology. Vol. 28, No.12, 2017

7. Yanxue Wang*, Xuefeng Chen, Yanyang Zi. Time-Frequency Demodulation Analysis Based on LMD and Its Applications.  Structural Health Monitoring, pp. 321-345 Part of the Smart Sensors, Measurement and Instrumentation book series (SSMI, volume 26)

8. Zexian Wei, Yanxue Wang*, Shuilong He, Jiading Bao, A novel intelligent method for bearing fault diagnosis based on affinity propagation clustering and adaptive feature selection, Knowledge-based Systems. Vol.112, 1-12, 2017 (SCI&EI源)  

9. Yanxue Wang*, Fuyun Liu, Zhansi Jiang, Complex variational mode decomposition for signal processing applications. Mechanical Systems and Signal Processing, Vol.86, 75-85, 2017 (SCI&EI) 

10. Suofeng Zhang, Yanxue Wang *, Shuilong He, Zhansi Jiang, Bearing fault diagnosis base on variational mode decomposition and total variation denoising, Measurement Science and Technology, 27 (2016) 075101 (10 pp). (SCI&EI) 

11. Yongbin Ding, Yanxue Wang*, Jiawei Xiang. An online debris sensor system with vibration resistance for lubrication analysis. Review of Scientific Instruments, 2016, Vol. 87: 025109-1: 025109-9. (SCI&EI)

12. Shuilong He, Jinglong Chen*, Yanyang Zi, Yanxue Wang, Xiaodong Wang. Multifractal entropy based adaptive multiwavelet construction and its application for mechanical compound-fault diagnosis[J]. Mechanical Systems and Signal Processing, 2016, 76: 742-758. (SCI&EI)   

13. Yanxue Wang*, Richard Markert, Jiawei Xiang, Weiguang Zheng. Research on variational mode decomposition and its application in detecting rub-impact fault of the rotor system [J]. Mechanical Systems and Signal Processing 2015, Vol. 60-61: 243-251. (SCI&EI) （ESI高被引论文）

14. Yanxue Wang*, Jiawei Xiang, Qiuyun Mo, Shuilong He. Compressed sparse time-frequency feature representation via compressive sensing and its applications in fault diagnosis [J]. Measurement 2015, Vol.68: 70-81. (SCI&EI) 

15. Yanxue Wang*, Jiawei Xiang, Richard Markert, Ming Liang. Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications [J]. Mechanical Systems and Signal Processing, 2016, Vol. 66-67, 679-698. (SCI&EI) （ESI高被引论文）

16. Yanxue Wang*, Richard Markert. Filter Bank Property of Variational mode decomposition and its applications [J]. Signal Processing, March 2016, Vol. 120, 509-521. (SCI&EI)

17. Yanxue Wang*, Zhengjia He, Jiawei Xiang etc. Application of local mean decomposition to the surveillance and diagnostics of low-speed helical gearbox [J]. Mechanism and Machine Theory, 2012, Vol. 47(1), pp. 62-73. (SCI&EI) 

18. Jiawei Xiang, Toshiro Matsumoto, Yanxue Wang, Zhansi Jiang. Detect damages in conical shells using curvature mode shape and wavelet finite element method [J]. International Journal of Mechanical science, (2013) Vol. 66, 83-93. (SCI&EI) 

19. Jiawei Xiang, YanxueWang, Zhansi Jiang, Jiangqi Long and Guang Ma. Numerical simulation of plane crack using hermite cubic spline wavelet [J]. CMES-Computer Modeling in Engineering & Sciences. 2012. Vol. 88 No. 1, 1-15.  (SCI&EI) 

20. Yanxue Wang*, Zhengjia He, Yanyang Zi. A demodulation method based on local mean decomposition and its application in rub-impact fault diagnosis [J]. Measurement Science and Technology 2009, 20(2): 025704-1~025704-10 (SCI&EI) 

21. Yanxue Wang*, Zhengjia He, Yanyang Zi. Enhancement of signal denoising and multiple fault signatures detecting in rotating machinery using dual-tree complex wavelet transform [J]. Mechanical Systems and Signal Processing 2010, 24(1) 119-137 (SCI&EI) 

22. Yanxue Wang*, Zhengjia He, Yanyang Zi. A comparative study of the local mean decomposition and empirical mode decomposition Application to rotating machinery health monitoring [J]. Journal of Vibration and Acoustics - Transactions of The ASME 2010, 132(2) 021010-1~021010-10 (SCI&EI)

23. Yanxue Wang, Ming Liang. An adaptive SK technique and its application for fault detection of rolling element bearings [J]. Mechanical System and Signal Processing, 2011, Vol. 25 (5) pp.1750-1764. (SCI&EI) 

24. Yanxue Wang, Zhengjia He, Jiawei Xiang. Application of extended time-frequency domain average in ultrasonic detecting [J]. Journal of Vibroengineering. 2011, Vol.13 (2) pp.144-156 (SCI&EI) 

25. Yanxue Wang, Liang Ming*. Identification of multiple transient faults based on the adaptive spectral kurtosis method [J] Journal of Sound and Vibration. 2012. Vol.313 (2) pp. 470-486. (SCI&EI)  

26. Yanxue Wang*, Jiawei Xiang, Jiang Zhansi, Yang Lianfa. On the performance of superposition window [J]. Journal of Vibroengineering. 2012 Vol.13 (4), pp. 719-729 (SCI) 

27. Yanxue Wang*, Jiawei Xiang, Jiang Zhansi, Yang Lianfa. Vibration signals denoising using minimum description length principle for detecting impulsive signatures. Journal of Mechanical Engineering Science, 2014, 228, 1818-1828. (SCI&EI) 

28. 胡超凡，王衍学，基于张量分解的滚动轴承复合故障多通道信号降噪方法研究. 机械工程学报. 2019.6, 55(12), 50-57

29. 李华新，王衍学，基于分层稀疏编码的轴承剩余寿命预测方法，现代制造工程，2019(5) 7-12

30. 刘 放，王衍学. 基于多域特征与改进D-S证据理论的齿轮故障智能诊断方法. 机械传动，2019，43（9）159-164

31. 杨琳, 王衍学, 何水龙. 基于变分模态分解和广义Warblet变换的齿轮故障诊断. 机械传动. 2018，42(7) 157-161

32. 张锁峰, 王衍学, 何水龙, 胡超凡, 蒋占四. 基于VMD的调制谱强度分布在齿轮故障诊断中的应用研究. 机械强度. 2019，Vol. 41(2) 267-274

33. 刘畅，王衍学，杨建伟. 基于FOA的变分模态分解在轴承故障诊断中的应用. 机械传动，2020，44（5）146-154

34. 刘奇，王衍学，基于同步挤压提取变换的滚动轴承故障诊断研究，机械传动，已录用

35. 杜望，王衍学，基于协整和向量误差修正的轴承剩余寿命预测，电子测量与仪器学报，已录用

36. 赖俊杰，王衍学，蒋超阳，直齿轮轮齿双侧对称裂纹对其刚度的影响研究，机械传动，已录用

37. 蒋超阳，王衍学，赖俊杰，基于全齿廓行星齿轮点蚀故障时变啮合刚度计算模型，机械传动，已录用

专利成果

[1]   王衍学，向家伟，蒋占四等. 一种超声波抗噪检测方法和系统 [P]（国家发明专利，授权日期：2013.12.25，授权号：ZL201210315283.X）

[2]   王衍学，向家伟，蒋占四等. 一种齿轮箱复合故障诊断方法及系统 [P]（国家发明专利，授权日期：2015.1.21，授权号：ZL201210315311.8）

[3]   王衍学，向家伟，蒋占四等. 大型风力机组轴承故障诊断方法及系统 [P]（国家发明专利，授权日期：2015.3.25，授权号：ZL201210315317.5），

[4]   王衍学，丁永彬，孟令杰等. 机械装备监测振动信号的时频图处理方法及系统 [P]（国家发明专利，授权日期：2017.1.11，授权号：ZL201410624434.9）

[5]   王衍学，丁永彬，张应红，何水龙，蒋占四. 一种油液磨粒检测传感器的设计方法及油液磨粒检测装置 [P]（国家发明专利，授权日期：2017.4.5，授权号：ZL201510124960.3）

[6]   王衍学，丁永彬，何水龙，蒋占四. 输出振动信号的油液磨粒检测传感器及油液在线监测系统[P]（国家发明专利，授权日期：2018.2.16，授权号：ZL201510633743.2）

[7] 王衍学，韦泽贤，一种基于聚类分析的复杂旋转机械滚动轴承智能诊断方法（国家发明专利，授权日期：2018.12.21，授权号：ZL201710169963.8）

[8]   张应红，方贵明，王衍学等. 油液金属磨粒在线监测系统 [P] 国家发明专利，授权日期：2015.4.22，授权号：ZL201310228772.6）

[9]   张应红，方贵明，王衍学等. 用于在线监测油液金属磨粒的传感器及其应用方法 [P]（国家发明专利，授权日期：2015.6.3，授权号：ZL201310219608.9）

[10]王衍学，胡超凡等. 一种基于张量分解的机械信号大数据处理方法[P]（国家发明专利，申请号：201810061289.6）

[11] 王衍学，李华新等. 一种基于稀疏编码的滚动轴承剩余寿命预测方法（国家发明专利，申请号：201810061309.X）

[12] 王衍学，韦泽贤等. 一种基于快速搜索算法的地铁列车轴承智能诊断方法（国家发明专利，授权日期：2019.9.23，授权号：ZL201711426157.0）

[13] 王衍学，杨琳等. 一种列车走行部轴承非平稳运维的时频阶比跟踪方法（国家发明专利，授权日期：2019.8.6，授权号：ZL201711426158.5）

[14] 王衍学，刘放等.一种基于模糊偏好关系与D-S证据理论的故障诊断方法（国家发明专利，申请号：201810308638.X）