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Fei CW*, Han YJ, Wen JR, Li C. Deep learning-based modeling method for probabilistic LCF life prediction of turbine blisk[J]. Power and Propulsion Research, 2024, 13(1), Online.
Lu C, Teng D, Chen JY, Fei CW*, Keshtegar B. Adaptive vectorial surrogate modeling framework for multi-objective reliability estimation[J]. Reliability Engineering & System Safety 2023, 234: 109148.
Lu C, Li H, Keshtegar B, Alkabaac AS, Taylanc O, Fei CW*. Extremum hybrid intelligent-inspired models for accurate predicting mechanical performances of turbine blisk [J]. Mechanical Systems and Signal Processing, 2023, 190: 110136.
Lu C, Li H, Lei Han, Keshtegar B, Fei CW*. Bi-iterative moving enhanced model for probability-based transient LCF life prediction of turbine blisk[J], Aerospace Science and Technology, 2023,132:107998.
Wen JR（学生）, Fei CW, Ahn SY, Han Lei*, et al. Accelerated damage mechanisms of aluminized superalloy turbine blades regarding combined high-and-low cycle fatigue[J]. Surface & Coatings Technology, 2022,451:129048.
Fei CW, Wen JR, Han L*, Huang B, Yan C. Optimizable image segmentation method with superpixels and feature migration for aerospace structures[J]. Aerospace, 2022, 9(8): 465.
Fei CW, Li H, Lu C*, Han L, Keshtegar B, Taylan O. Vectorial surrogate modeling method for multi-objective reliability design[J]. Applied Mathematical Modelling, 2022, 109:1-20.
Fei CW, Liu HT, Rhea P. Liem, Choy YS, Han L*. Hierarchical model updating strategy of complex assembled structures with uncorrelated dynamic modes [J]. Chinese Journal of Aeronautics, 2022, 35(3): 281-296.
Keshtegar B, Bagheri M, Fei CW*, Lu C, Taylan O, Thai DK. Multi-extremum modified response basis model for nonlinear response prediction of dynamic turbine blisk [J]. Engineering with Computers, 2022, 38: 1243–1254. (ESI高被引)
Han L, Li PY, Yu SJ, Chen C, Fei CW*, Lu C. Creep/fatigue accelerated failure of Ni-based superalloy turbine blade: Microscopic characteristics and void migration mechanism [J]. International Journal of Fatigue, 2022, 154:106558.
Han L, Shi HQ, Tao M, Fei CW*, et al. Service damage mechanism and interface cracking behavior of Ni-based superalloy turbine blades with aluminized coating [J]. International Journal of Fatigue, 2021, 153:106500.
Lu C, Fei CW*, Feng YW, et al. Probabilistic analyses of structural dynamic response with modified Kriging-based moving extremum framework[J]. Engineering Failure Analysis. 2021, 125:105398. (ESI高被引，热点文章)
Han L, Wang YB, Zhang Y, Lu C, Fei CW*, et al. Competitive cracking behavior and microscopic mechanism of Ni-based superalloy blade respecting accelerated CCF failure [J]. International Journal of Fatigue, 2021, 150:106306. (ESI高被引)
Han L, Chen C, Guo TY, Lu C, Fei CW*, et al. Probability-based service safety life prediction approach of raw and treated turbine blades regarding combined cycle fatigue[J]. Aerospace Science and Technology, 2021, 110: 106513. (ESI高被引)
Fei CW, Liu HT, Li SL, Li H, An LQ, Lu C*. Dynamic parametric modeling-based model updating strategy of aeroengine casings [J]. Chinese Journal of Aeronautics, 2021, 34 (12)：145-157 (ESI高被引)
Fei CW*, Li H, Liu HT, Lu C, et al. Enhanced network learning model with intelligent operator for the motion reliability evaluation of flexible mechanism[J]. Aerospace Science and Technology, 2020, 107: 106342.
Fei CW, Liu HT, Zhu ZZ, An LQ, Li SL, Lu C*. Whole-process design and experimental validation of landing gear lower drag stay with global/local linked driven optimization strategy [J]. Chinese Journal of Aeronautics, 2020, 2021, 34(2):318-328. (ESI高被引)
Lu C, Feng YW, Fei CW*, Bu SQ. Improved decomposed-coordinated Kriging modeling strategy for dynamic probabilistic analysis of multi-component structures [J]. IEEE Transactions on Reliability. 2020, 69(2): 440-457.(ESI高被引)
Lu C, Fei CW*, Li H, Liu HT, An LQ. Moving extremum surrogate modeling strategy for dynamic reliability estimation of turbine blisk with multi-physics fields [J]. Aerospace Science and Technology. 2020, 106: 106112.
Fei CW, Li H, Liu HT, Lu C*, Keshtegar B*. Multilevel nested reliability-based design optimization with hybrid intelligent regression for operating assembly relationship [J]. Aerospace Science and Technology, 2020, 103: 105906. (ESI高被引)
Lu C, Feng YW, Fei CW*, Bu SQ. Improved decomposed-coordinated Kriging modeling strategy for dynamic probabilistic analysis of multi-component structures [J]. IEEE Transactions on Reliability. 2020, 69(2): 440-457. (ESI高被引)
Fei CW*, Lu C, Liem R.P. Decomposed-coordinated surrogate modelling strategy for compound function approximation and a turbine blisk reliability evaluation [J]. Aerospace Science and Technology, 2019, 95：105466.
Song LK, Bai GC, Fei CW*, Tang WZ. Multi-failure probabilistic design for turbine bladed disks using neural network regression with distributed collaborative strategy [J], Aerospace Science and Technology, 2019, 92: 464-477.
Tian J, Ai YT, Fei CW*, Zhang FL. Dynamic modeling and simulation of inter-shaft bearings with localized defects excited by time-varying displacement [J]. Journal of Vibration and Control, 2019, 25(8): 1436-1446.
Song LK, Bai GC, Fei CW*, Wen J. Probabilistic LCF life assessment of turbine discs using DC-based wavelet neural network regression [J]. International Journal of Fatigue 2019, 119: 204-219.
Lu C, Feng YW, Rhea. P Liem, Fei CW*. Improved kriging with extremum response surface method for structural dynamic reliability and sensitivity analyses [J]. Aerospace Science and Technology, 2018, 76:164-175.
学术专著
费成巍、路成、闫成、李坚。基于先进代理模型的航空结构可靠性设计理论方法[M]. 科学出版社，2023；
费成巍，艾延廷，田晶. 基于信息融合的航空发动机整机振动故障诊断技术 [M]. 科学出版社, 2020；
费成巍，复杂机械动态装配可靠性设计理论与方法研究[D],博士学位论文，2014. 航空宇航科学与技术学科全国优秀博士学位论文。
出版教材
《航空航天结构智能可靠性设计》，工信部十四五规划教材，2024，排名：第1；
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