魏鹏飞教师主页

个人经历 personal experience 工作经历 教育经历 2022.03-至今          西北工业大学   动力与能源学院  动力控制与测试系  副教授 （硕、博导）2018.09—2020.08   德国汉诺威莱布尼兹大学  风险与可靠性研究所    洪堡学者 2015.04—2022.03   西北工业大学  力学与土木建筑学院  工程力学系  副教授（硕导、博导） 2003.9-2006.7    西安市第一中学 2006.9-2009.7    西北工业大学  教育实验学院  本科 2009.9-2010.7    西北工业大学  航空学院        本科 2010.9-2015.4    西北工业大学  航空学院        硕博连读

copyright dedecms

教育教学

教育教学 Education and teaching 教育教学 招生信息 理论力学可靠性工程 (Reliability Engineering)结构系统可靠性（Structural System Reliability）人工智能算法与应用自动控制理论 团队名称：空天动力燃油控制系统研究所实验室：西工大飞行器动力实验中心-发动机燃油控制系统实验室；西工大-航发西控航空动力燃油控制技术创新联合实验室。本团队围绕航空发动机燃油控制系统开展基础理论、仿真建模、设计方法、试验技术的综合研究，团队注重科学精神与学术思想的培养，鼓励学科交叉融合，倡导学术交流与合作，团队氛围宽松、学术严谨、思想活跃，注重理论与实际工程的结合，欢迎各位有志于科学研究的同学联系报考硕士/博士。I am a Bayesian, a Bayesian for Machine Learning, Numerical Computation, Uncertainty Quantification, and Simulating the World.Welcome to join us to explore and exploit the fascinating universe with the fascinating Bayesian idea!   硕士招生方向：080701 工程热物理（学硕）；082502 航空宇航推进理论与工程（学硕）                        085406 控制工程 （专硕）；085503 航空工程（专硕）；                        085802 动力工程（专硕）；085804 航空发动机工程（专硕）博士招生方向：航空宇航科学与技术研究方向：1）装备可靠性工程；                 2）航发燃油控制系统（性能与可靠性一体化仿真、设计及试验）；                 3）机器学习算法及其工程应用；                 4）不确定性量化理论与应用。            Click to My ResearchGate Page

织梦内容管理系统

荣誉获奖

学术成果 Academic Achievements 以第一/通讯作者发表SCI论文50余篇，大部分发表于领域国际顶级期刊，谷歌学术引用次数1700余次，H因子22，i10指数41。在装备可靠性工程、机器学习算法、不确定性量化等方向提出了原创学术思想和方法，学术研究上深受贝叶斯学派思想影响，擅长采用贝叶斯数值方法解决各类工程计算和仿真难题，特别是装备发展中的可靠性和寿命难题，在航空发动机燃油控制系统性能和可靠性一体化仿真、试验、设计方面具有一定研究积累。部分已发表论文如下：2023Collaborative and Adaptive Bayesian Optimization for bounding variances and probabilities under hybrid uncertaintiesF Hong, P Wei, J Song, MA Valdebenito, MGR Faes, M BeerComputer Methods in Applied Mechanics and Engineering 417, 116410Constrained Bayesian optimization algorithms for estimating design points in structural reliability analysisJ Song, Y Cui, P Wei, MA Valdebenito, W ZhangReliability Engineering & System Safety, 109613Structural reliability analysis by line sampling: A Bayesian active learning treatmentC Dang, MA Valdebenito, MGR Faes, J Song, P Wei, M BeerStructural Safety 104, 102351Combining Bayesian active learning and conditional Gaussian process simulation for propagating mixed uncertainties through expensive computer simulatorsJ Fu, F Hong, P Wei, Z Guo, Y Xu, W GaoAerospace Science and Technology 139, 108363Estimation of small failure probabilities by partially Bayesian active learning line sampling: Theory and algorithmC Dang, MA Valdebenito, J Song, P Wei, M BeerComputer Methods in Applied Mechanics and Engineering 412, 116068Combining data and physical models for probabilistic analysis: A Bayesian Augmented Space Learning perspectiveF Hong, P Wei, J Song, MGR Faes, MA Valdebenito, M BeerProbabilistic Engineering Mechanics, 103474A new reliability method combining adaptive Kriging and active variance reduction using multiple importance samplingA Persoons, P Wei, M Broggi, M BeerStructural and Multidisciplinary Optimization 66 (6), 144A new acquisition function combined with subset simulation for active learning of small and time-dependent failure probabilityF Hong, P Wei, J Fu, Y Xu, W GaoStructural and Multidisciplinary Optimization 66 (4), 72An expected integrated error reduction function for accelerating Bayesian active learning of failure probabilityP Wei, Y Zheng, J Fu, Y Xu, W GaoReliability Engineering & System Safety 231, 108971A feature mapping strategy of metamodelling for nonlinear stochastic dynamical systems with low to high-dimensional input uncertaintiesZ Wan, J Chen, W Tao, P Wei, M Beer, Z JiangMechanical Systems and Signal Processing 184, 1096562022Structural reliability analysis: A Bayesian perspectiveC Dang, MA Valdebenito, MGR Faes, P Wei, M BeerStructural Safety 99, 102259Bayesian probabilistic propagation of hybrid uncertainties: Estimation of response expectation function, its variable importance and boundsC Dang, P Wei, MGR Faes, M BeerComputers & Structures 270, 106860Parallel adaptive Bayesian quadrature for rare event estimationC Dang, P Wei, MGR Faes, MA Valdebenito, M BeerReliability Engineering & System Safety 225, 108621A distributionally robust approach for mixed aleatory and epistemic uncertainties propagationM Kitahara, J Song, P Wei, M Broggi, M BeerAIAA Journal 60 (7), 4471-4477Interval uncertainty propagation by a parallel Bayesian global optimization methodC Dang, P Wei*, MGR Faes, MA Valdebenito, M BeerApplied Mathematical Modelling 108, 220-235Application of an improved sequential importance sampling for structural reliability analysis of aeronautical hydraulic pipeline with multiple stochastic responsesF Liu, P Wei, P He, Y DaiStructural and Multidisciplinary Optimization 65 (2), 1-14Data-driven and active learning of variance-based sensitivity indices with Bayesian probabilistic integrationJ Song, P Wei, MA Valdebenito, M Faes, M BeerMechanical Systems and Signal Processing 163, 1081062021Efficient reliability analysis of complex systems in consideration of imprecision.J Salomon*, N Winnewisser, P Wei*, M Broggi, M BeerReliability Engineering and System Safety, in pressBayesian probabilistic propagation of imprecise probabilities with large epistemic uncertaintyP Wei*, F Liu, M Valdebenito, M BeerMechanical Systems and Signal Processing 149, 107219Estimation of Failure Probability Function under Imprecise Probabilities by Active Learning–Augmented Probabilistic IntegrationC Dang, P Wei*, J Song, M BeerASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7(4):04021054Active learning line sampling for rare event analysisJ Song, P Wei*, M Valdebenito, M BeerMechanical Systems and Signal Processing 147, 107113Failure probability estimation of a class of series systems by multidomain Line SamplingMA Valdebenito, P Wei, J Song, M Beer, M BroggiReliability Engineering & System Safety 213, 107673Bounds optimization of model response moments: a twin-engine Bayesian active learning methodP Wei*, F Hong, KK Phoon, M BeerComputational Mechanics 67 (5), 1273-1292Application of a Reduced Order Model for Fuzzy Analysis of Linear Static SystemsMA Valdebenito, HA Jensen, P Wei, M Beer, AT BeckASCE-ASME Journal of Risk and Uncertainty in Engineering Systems,  Part B: Mechanical Engineering, 7(2): 020904Augmented reliability analysis for estimating imprecise first excursion probabilities in stochastic linear dynamicsMGR Faes, MA Valdebenito, X Yuan, P Wei, M BeerAdvances in Engineering Software 155, 102993An approach to evaluation of EVD and small failure probabilities of uncertain nonlinear structures under stochastic seismic excitationsC Dang, P Wei*, M BeerMechanical Systems and Signal Processing 152, 1074682020Adaptive Experiment Design for Probabilistic IntegrationP Wei*, X Zhang, M BeerComputer Methods in Applied Mechanics and Engineering, 366, 113035Non-intrusive imprecise stochastic simulation by line samplingJ Song, M Valdebenito, P Wei*, M Beer, Z LuStructural Safety 84, 101936Reliability and reliability sensitivity analysis of structure by combining adaptive linked importance sampling and Kriging reliability methodF Liu, P Wei*, C Zhou, Z YueChinese Journal of AeronauticsFuzzy failure probability estimation applying intervening variablesMA Valdebenito, M Beer, HA Jensen, J Chen, P WeiStructural Safety 83, 1019092019:Generalization of non-intrusive imprecise stochastic simulation for mixed uncertain variablesJ Song, P Wei*, M Valdebenito, S Bi, M Broggi, M Beer, Z LeiMechanical Systems and Signal Processing 134, 106316 Non-intrusive stochastic analysis with parameterized imprecise probability models: I. Performance estimationP Wei*, J Song*, S Bi, M Broggi, M Beer, Z Lu, Z YueMechanical Systems and Signal Processing 124, 349-368Non-intrusive stochastic analysis with parameterized imprecise probability models: II. reliability and rare events analysisP Wei*, J Song*, S Bi, M Broggi, M Beer, Z Lu, Z YueMechanical Systems and Signal Processing 126, 227-247Global sensitivity analysis for multivariate outputs based on multiple response Gaussian process modelFuchao Liu, Pengfei Wei*, Chenghu Tang, Pan Wang, Zhufeng YueReliability Engineering and System Safety, In Press, available at: https://www.sciencedirect.com/science/article/pii/S0951832017304945 Structural reliability and reliability sensitivity analysis of extremely rare failure events by combining sampling and surrogate model methods Pengfei Wei* , Chenghu Tang and Yuting Yang Journal of Risk and Reliability, in press, DOI: 10.1177/1748006X19844666 The Bhattacharyya distance: Enriching the P-box in stochastic sensitivity analysisS Bi, M Broggi, P Wei, M BeerMechanical Systems and Signal Processing 129, 265-2812018:魏鹏飞*, 吕震宙, 宋静文. 不确定性量化及敏感性分析研究进展. 发表于：李杰, 陈建兵, 彭永波. 随机振动理论与应用新进展(第Ⅱ辑). 上海：同济大学出版社, 2018A probabilistic procedure for quantifying the relative importance of model inputs characterized by second-order probability modelsP Wei*, F Liu, Z Lu, Z WangInternational Journal of Approximate Reasoning Reliability and reliability-based importance analysis of structural systems using multiple response Gaussian process modelP Wei*, F Liu, C TangReliability Engineering & System Safety 175, 183-195 2017:Time-variant global reliability sensitivity analysis of structures with both input random variables and stochastic processesP Wei*, Y Wang, C TangStructural and Multidisciplinary Optimization 55 (5), 1883-1898  Extending first-passage method to reliability sensitivity analysis of motion mechanismsW Wang, H Gao, P Wei, C ZhouProceedings of the Institution of Mechanical Engineers, Part O: Journal of … 2016:Time-dependent reliability sensitivity analysis of motion mechanismsP Wei*, J Song, Z Lu, Z YueReliability Engineering & System Safety 149, 107-120 Parametric Reliability Sensitivity Analysis Using Failure Probability Ratio FunctionP Wei*, Z LuInternational Journal of Computational Methods 13 (04), 1641005 Global reliability sensitivity analysis of motion mechanismsP Wei*, J Song, Z LuJournal of Risk and Reliability  230(3), 265-2772015:Variable importance analysis: A comprehensive reviewP Wei, Z Lu, J SongReliability Engineering & System Safety 142, 399-432 Regional and parametric sensitivity analysis of Sobol？ indicesP Wei, Z Lu, J SongReliability Engineering & System Safety 137, 87-100 A comprehensive comparison of two variable importance analysis techniques in high dimensions: Application to an environmental multi-indicators systemP Wei, Z Lu, J SongEnvironmental Modelling & Software 70, 178-190 2014:Moment‐Independent Sensitivity Analysis Using CopulaP Wei, Z Lu, J SongRisk Analysis 34 (2), 210-222 Uncertainty Importance Analysis Using Parametric Moment Ratio FunctionsP Wei, Z Lu, J SongRisk Analysis 34 (2), 223-234 Regional sensitivity analysis using revised mean and variance ratio functionsP Wei, Z Lu, W Ruan, J SongReliability Engineering & System Safety 121, 121-135 Extended Monte Carlo simulation for parametric global sensitivity analysis and optimizationP Wei, Z Lu, J SongAIAA Journal 52 (4), 867-878 2013:A new variance-based global sensitivity analysis techniqueP Wei, Z Lu, J SongComputer Physics Communications 184 (11), 2540-2551 Moment-independent regional sensitivity analysis: Application to an environmental modelP Wei, Z Lu, D Wu, C ZhouEnvironmental Modelling & Software 47, 55-63 Monte Carlo simulation for moment-independent sensitivity analysisP Wei, Z Lu, X YuanReliability Engineering & System Safety 110, 60-67 Reliability analysis of structural system with multiple failure modes and mixed uncertain input variablesP Wei, Z Lu, B RenProceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science  227, 1441-1453Addition laws of failure probability and their applications in reliability analysis of structural system with multiple failure modesP Wei, Z Lu, L TianProceedings of the Institution of Mechanical Engineers, Part C:  Journal of Mechanical Engineering Science  227, 120-1362012：Efficient sampling methods for global reliability sensitivity analysisP Wei, Z Lu, W Hao, J Feng, B WangComputer Physics Communications 183 (8), 1728-1743 New Linear Programming-Based Bound Method for Structural System ReliabilityP Wei, Z Lu, L TianJournal of Aircraft 49 (2), 664-670 2011:Importance measure analysis in the presence of epistemic and aleatory uncertaintiesP Wei, Z Liu, W HaoJournal of Aircraft 48 (5), 1733-1740 织梦好，好织梦

科学研究

荣誉获奖 Awards Information 德国洪堡学者西工大“翱翔新星”国防科技进步二等奖（第七完成人，2017）陕西省科学技术二等奖（第四完成人，2017）陕西省优秀博士学位论文（2017）西北工业大学优秀研究生标兵（2013、2014）博士研究生国家奖学金（2012、2013、2014）教育部博士研究生学术新人奖西北工业大学博士论文创新专项奖励基金一等奖西北工业大学顶尖博士研究生奖励宝钢优秀学生奖 copyright dedecms

学术成果

科学研究 Scientific Research 研究方向：1）装备可靠性工程；2）航发燃油控制系统；3）机器学习算法及其在工程计算中的应用Google Citation Page My ResearchGate page主持国家自然科学基金项目两项（在研）、装备重大基础研究项目一项（在研）、中德国际合作项目一项（在研）及省部级项目两项（结题），人才类项目包括德国洪堡学者基金（2018.09-2020.08）和西工大翱翔新星（2020.01-2022.12）：1.  装备重大基础研究项目   题目：不确定性量化设计理论研究   资助额度：91万   研究期限：2021-20222.  国家自然科学基金面上项目（72171194）    题目：不完备信息下复杂网络系统高可信可靠性建模与仿真    资助额度：48万    研究期限：2022.01.01-2025.12.313.       中德国际合作交流项目（M-0175）             资助方：国家自然科学基金委员会中德科学中心             英文题目：Bayesian inference and updating for reliability analysis of complex systems under incomplete                                      knowledge.               中文题目：不完整性信息下复杂系统可靠性分析的贝叶斯推断与更新方法研究              负责人：魏鹏飞（中方）、Michael Beer（德方）              金额：73.804万元人民币（中方）+9.358万欧元（德方）              研究期限：2021.01.01-2023.12.314.       国家自然科学基金青年项目（51905430）    题目：基于非精确随机模拟的多态不确定性与结构可靠性理论    资助金额：27万元    负责人：魏鹏飞             研究期限：2020.01.01-2022.12.315.       航天科学技术基金    题目：航天器结构时变多模式可靠性分析与设计方法研究    资助金额：8万    研究期限：2018.01.01-2018.12.31（已结题）6.       陕西省自然科学基础研究计划   题目：高维相关变量重要性分析方法研究   资助金额：3万   研究期限：2017.01.01-2018.12.31（已结题）

copyright dedecms

综合介绍

社会兼职 Social Appointments 1. 国际期刊Reliability Engineering and System Safety编委2. 国际期刊ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, Part B: Mechanical Engineering编委3. 《推进技术》青年编委4. Reliability Engineering and System Safety、Mechanical System and Signal Processing、Applied Mathematical Modelling、Structural and Multidisciplinary Optimization、IEEE Transaction on Reliability、Engineering Optimization、Journal of Mechanical Engineering Science等国际期刊审稿人 5. 中德复杂系统可靠性研讨会发起人、会议主席 织梦内容管理系统