项目： 国家自然科学基金重点项目“大型风电装备故障机理分析与诊断”，总经费320万元
           国家自然科学基金“复合材料结构全信息健康监测方法研究”
           国家自然科学基金创新群体“机械装备诊断基础研究”

合作单位：清华大学、国电、东汽、明阳、张北风场等

论文：
(1) Li J, Chen X, Du Z, et al. A new noise-controlled second-order enhanced stochastic resonance method with its application in wind turbine drivetrain fault diagnosis[J]. Renewable Energy, 2013, 60: 7-19.
(2)Xuefeng Chen, Zhibo Yang, Xingwu Zhang, Zhengjia He. Modeling of wave propagation in one-dimension structures using B-spline wavelet on interval finite element. Finite Elements in Analysis and Design, 2012,51:1-9.
(3) 陈雪峰, 李继猛, 程航, 等. 风力发电机状态监测和故障诊断技术的研究与进展[J]. 机械工程学报, 2011, 47(9): 45-52.
(4) 陈雪峰，郭艳婕. 风电装备振动监测与诊断，科学出版社，2016.

(5)Xuefeng Chen, Ruqiang Yan, Y Liu. Wind turbine condition monitoring and fault diagnosis in China [J]. IEEE Instrumentation & Measurement Magazine, 2016, 19(2): 22-8.
(6) Yinghong Li, Xuefeng Chen, Jin Zhou, et al. A review of high-velocity impact on fiber-reinforced textile composites: Potential for aero engine applications. International Journal of Mechanical System Dynamics. 2022;2(1):50-64.