費成巍

費成巍，男，博士，復旦大學航空航天系研究員。

基本介紹

• 中文名：費成巍
• 畢業院校：北京航空航天大學
• 學位/學歷：博士
• 職業：教師
• 專業方向：航空燃氣渦輪發動機結構可靠性與健康監測
• 職務：復旦大學航空航天系研究員
• 任職院校：復旦大學航空航天系研究員

個人經歷

工作學習經歷

※2018/10至今復旦大學航空航天系研究員；

※2018/06-2018/09香港理工大學電氣工程系研究員（Research Fellow）；

※2017/12-2018/05香港科技大學機械與航空航天工程系，博士後研究員；

※2015/12-2017/12香港理工大學機械工程系，博士後研究員；

※2014/09-2015/11香港理工大學機械工程系，副研究員（Research Associate）；

※2014/09-2018/09，北京航空航天大學，計算機學院，博士後研究人員；

※2010/09-2014/07北京航空航天大學航空宇航推進理論與工程專業，工學博士。

學術兼職

中國振動工程學會會員；

中國振動工程學會轉子動力學分會理事；

美國航空航天協會（AIAA）會員；

中國航空協會（動力專業分會）(CSAA)會員；

美國機械工程學會（ASME）會員；

國際期刊Aerospace Engineering: An International Journal編委；

國際期刊Journal of dynamics of Machines編委；

國際期刊Advances in Acoustics and Vibration客座主編（Lead Guest Editor）；

國際期刊Advances in Mechanical Engineering客座主編（Lead Guest Editor）。

研究方向

航空燃氣渦輪發動機結構可靠性與健康監測，主要包括：

（1）飛機發動機性能與健康評估；

（2）發動機結構最佳化與可靠性設計；

（3）多學科仿真與建模、模型修正與驗證；

（4）機器學習與智慧型算法等。

主講課程

本科生：《飛機發動機原理》；

研究生：《系統可靠性工程》。

榮譽獎勵

航空宇航科學與技術學科全國優秀博士學位論文獲得者、香江學者。

(1)瀋陽市自然科學學術成果三等獎（排名第3），2018；

(2)航空宇航科學與技術學科全國優秀博士學位論文（全國5篇）,2016；

(3)香江學者獎,2015；

(4)北京航空航天大學優秀博士學位論文,2015；

(5)教育部學術新人獎,2012。

學術成果

科研項目

（1）國家自然科學基金面上項目，基於矢量代理模型的工程系統最佳化與可靠性設計方法，2020.01-2023.12,60萬，在研，負責人；

（2）復旦大學引進人才啟動經費，渦輪葉尖間隙分解協調全局最佳化與驗證，2018.10-202021.09,100萬，在研，負責人；

（3）國家自然科學基金青年項目，工程最佳化與可靠性設計的分散式協同代理模型方法，2017.01-2019.12,20萬，在研，負責人；

（4）“香江學者”計畫資助項目，2015.12-2017.12, 60萬，已完成，負責人；

（5）中國博士後科學基金項目（一等），8萬，負責人；

（6）國家自然科學基金面上項目，葉輪機械顫振穩定性的不確定性預測方法研究，84萬，在研，主要參與人；

（7）國家自然科學基金面上項目,機械動態裝配可靠性設計方法研究，63萬，主要完成人；

（8）香港教育研究基金，基於流固耦合分析技術的葉片振動分析與抑制，60萬，主要完成人；

（9）國家自然科學基金面上項目，機械動態裝配關係的穩健協同最佳化設計方法研究，65萬，主要完成人。

期刊審稿人

AIAA Journal

Journal of Power and Propulsion

Mechanical System and Signal Processing

Nonlinear Dynamics

Aerospace Science and Technology

Journal of Aerospace Engineering

Entropy

Chinese Journal of Aeronautics

International Journal for Numerical Methods in Engineering

Energy

Materials

International Journal of Fatigue

Journal of Engineering for Gas Turbine and Power

Journal of mechanical Science and Technology等20餘個國際期刊。

研究成果

已出版學術論文100餘篇（SCI檢索60餘篇（一作/通訊近60篇），1區top期刊30餘篇），學術專著2本和會議文章若干。

發表文章

[1]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, accepted

[2]Lu C, Feng YW,Fei CW*, Bu SQ.Decomposed-coordinated framework with enhanced extremum Kriging for multi-component dynamic probabilistic failure analyses[J].IEEE Access,2019, 7(1): 163287-163300.

[3]Zhang CY, Wei JS, Wang Z, Yuan ZS,Fei CW*and Lu C.Creep-based transient reliability evaluation method of turbine blade-tip radial running clearance with distributed collaborative generalized regression neural network[J].Materials, 2019, 12(21): 3552.

[4]Zhang CY, Yuan ZS, Wang Z,Fei CW*and Lu C.Probabilistic fatigue/creep optimization of turbine bladed disk with fuzzy multi-extremum response surface method[J].Materials, 2019, 12(12):3367.

[5]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. doi:10.1016/j.ast.2019.105466.

[6]Zhu ZZ, Feng YW, Lu C andFei CW*.Efficient driving plan and validation of aircraft NLG emergency extension system via mixture of reliability models and test bench,Applied Sciences, 2019, 9(17):3578.

[7]Zhang CY, Wang Z,Fei CW*, Yuan ZS, Wei JSandTang WZ.Fuzzy Multi-SVR Learning Model for Reliability-Based Design Optimization of Turbine Blades[J].Materials, 2019, 12(15), 2341.

[8]Sun D, Li SY, Zhao H, andFei CW*.Numerical Investigation on the Static and Rotordynamic Characteristics of Convergent-Tapered and Divergent-Tapered Hole-Pattern Gas Damper Seals[J].Materials, 2019, 12(14): 2324.

[9]Guan P, Ai YT*,Fei CW.An enhanced flow-thermo-structural modeling and validation for the integrated analysis of film cooling nozzle guide vane[J].Energies, 2019, 12(14): 2775.

[10]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.

[11]Zhang CY, Wei JS, Jing HZ,Fei CW*and Tang WZ.Reliability analysis of blisk low fatigue life with generalized regression extreme neural network method.Materials, 2019, 12(9): 1545. Q2

[12]Lu C,FengYW,Fei CW*, Feng X X, Choy Y S.Weighted regression-based extremum response surface method for structural dynamic fuzzy reliability analysis[J].Energies, 2019, 12(9): 1588.

[13]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.

[14]Sun D, Li SY,Fei CW*, Ai YT, Liem R.P.Investigation of the effect of cavitation and journal whirl on static and dynamic characteristics of journal bearing[J].Journal of mechanical Science and Technology, 2019, 33(1): 77~86.

[15]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 Fatigue2019, 119: 204-219.

[16]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.

[17]Fei CW, Choy YS, Tang WZ*, Bai GC.Multi-feature entropy distance approach with vibration and AE signals for process feature extraction and diagnosis of rolling bearing faults[J].Structural Health Monitoring-An International Journal, 2018, 17(2):156-168.

[18]Song LK, Wen J,Fei CW, Bai GC,Distributed collaborative probabilistic design of multi-failure structure with fliud-structure internaction using fuzzy neural network of regression[J].Mechanical Systems and Signal Processing, 2018, 104: 72-84.

[19]Gao HF*, Wang AJ, Bai GC, Wei CM,Fei CW.Substructure-based distributed collaborative probabilistic analysis method for low-cycle fatigue damage assessment of turbine bladed-disk[J].Aerospace Science and Technology,2018, 79:636-646.

[20]Sun D, Wang S,Fei CW*.A novel negative dislocated seal and influential parameters analyses of static/rotordynamic characteristics[J].Journal of Mechanical Science and Technology,2018，32(9):4125-4134.

[21]Lu C, Feng YW,Fei CW*.Probabilistic analysis method of turbine blisk with multi-failure modes by two-way fluid-thermal-solid coupling[J].Proceedings of IME Part C-Journal of Mechanical Engineering Science,2018, 232(16):2873-2886.

[22]Zhai X,Fei CW*, Wang JJ, Choy YS.A stochastic model updating strategy-based improved response surface model and advanced Monte Carlo simulation[J].Mechanical Systems and Signal Processing, 2017, 82(1): 323-338.

[23]Song LK,Fei CW*, Bai GC, Yu LC.Dynamic neural network method-based improved PSO and BR algorithms for transient probabilistic analysis of flexible mechanism[J].Advanced Engineering Informatics, 2017, 33: 144-153.

[24]Song LK,Fei CW*, Wen J, Bai GC.Multi-objective reliability-based design optimization approach of complex structure with multi-failure modes[J].Aerospace Science and Technology, 2017, 64:52-62.

[25]Fei CW*,Choy YS, Hu DY, Bai GC, Tang WZ.Dynamic probabilistic design approach of high-pressure turbine blade-tip radial running clearance[J].Nonlinear Dynamics, 2016, 86(1):205-223.

[26]Fei CW*, Choy YS, Hu DY, Bai GC, Tang WZ.Transient probabilistic analysis for turbine blade-tip radial clearance with multiple components and multi-physics fields based on DCERSM[J].Aerospace Science and Technology,2016, 50: 62-70.

[27]Sun D, N Liu N,Fei CW*, Hu GY, Ai YT and Choy YS.Theoretical and numerical investigation on the leakage flow characteristics of brush seals based on fluid-structure interaction[J].Aerospace Science and Technology, 2016, 58:207-216.瀋陽市自然科學三等獎

[28]Zhang CY, Song LK,Fei CW*, Lu C, Xie YM.Advanced multiple response surface method for reliability sensitivity analysis of turbine blisk with multi-physics coupling[J].Chinese Journal of Aeronautics, 2016, 29(4)：962-971.

會議文章

[1]Fei CW*, Lu C, Tang WT, An Enhanced Network Learning Method for Dynamic Probabilistic LCF Evaluation of Turbine Blisk [C]. 2019 Prognostics & System Health Management Conference (PHM-2019), Qingdao, China, Oct. 26-29, 2019.

[2]Lu C, Feng YW,Fei CW*. An enhanced weighted regression model for compressor blisk safety analysis regarding dynamics and uncertainty [C]. 2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2019). August 06-09, 2019, Zhangjiajie, Hunan, China;

出版專著

[1]費成巍，複雜機械動態裝配可靠性設計理論與方法研究[D],博士學位論文，2014.航空宇航科學與技術學科全國優秀博士學位論文（2016年，5篇/年），北航優秀博士學位論文（2015年, 20篇/年）.

[2]費成巍，艾延廷，田晶.基於信息融合的航空發動機整機振動故障診斷技術[M].科學出版社, 2019.

[3]Fei CW, Sun D. Experimental Investigation on Rotordynamic Characteristics and Rotor System Stability of a Novel Negative Dislocated Seal (Chapter)[M]. Top 5 Contributions in Shock and Vibration, 2019, 1-29.