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  • 杨力

    的个人主页 http://shi.buaa.edu.cn/liliyang53/zh_CN/index.htm

  •   硕士生导师
  • 主要任职:卓越百人计划副教授
个人简介

副教授,入选2022年北航青年拔尖人才计划和2019年北航卓越百人计划。博士毕业于北航系统工程专业,博士后任职于多伦多大学机械与系统工程系,于20年入职北航可靠性与系统工程学院,岗位为卓越百人计划副教授。

近年来以第一和通讯作者身份在IEEE Transactions on Industrial Electronics,IEEE Transactions on Industrial Informatics,European Journal of Operational Research、IEEE Transactions on Reliability、 Reliability Engineering & System Safety 等工业工程、可靠性和健康管理等领域国际顶级期刊上发表论文60余篇,其中SCI论文37余篇(包括中科院一区/top论文21篇,JCR Q1区论文30篇,ABS3/4星论文12篇)。出版著作一部,受理和授权专利10余项。研究成果累计引用1000余次,H指数为18,i10指数为22, 形成ESI高被引论文4篇。

学生培养方面,指导本科生获北京市优秀本科毕业设计、北航优秀本科毕业设计以及北航优秀毕业生等荣誉,并指导研究生多次获得国家奖学金和北航优秀学术论文等荣誉 。担任士嘉书院2022级本科生班主任,以及2021和2022级书院的新生导师。教学方面,担任本科生核心基础课《概率统计与随机过程》(56学时)、核心专业课《航空维修保障工程》(32学时)以及研究生专业课《工业与系统工程导论(双语)》(32学时)的主讲教师,入选2021年校一流本科课程建设团队。

以项目负责人身份主持国家自然科学基金、装备预研基金、技术基础、企业委托等10余项课题,参与了国家重点研发、国家自然科学基金重点等项目。目前担任国际期刊《International Journal of Data Analysis and Strategies》的编委,SCI期刊《Mathematics》客座编辑,国际会议QR2MSE-ICRSE和ISSA-ROD分会场主席。同时担任国际电气与电子工程师协会(IEEE)和INFORMS会员,以及20余个国际期刊的审稿人。


招生计划

每年计划招收2名研究生。专业方向包括但不限于工业工程、机械工程、安全工程、管理科学与工程、数学统计等。


研究领域

智能运维控制、决策与优化

系统可靠性分析和风险评估

安全监测和故障预测

机器学习方法和应用


学术兼职

中国系统工程学会系统可靠性工程分会理事

中国现场统计研究会可靠性工程分会理事

中国运筹学会可靠性分会青年委员

《International Journal of Data Analysis and Strategies》编委

 IEEE/INFORMS会员

 TIE、TII、EJOR、ITR等20余个国际期刊审稿人


代表性论文


1. Yang L, Chen Y, Qiu Q, Wang J. Risk Control of Mission-Critical Systems: Abort Decision-Makings Integrating Health and Age Conditions, IEEE Transactions on Industrial Informatics, 2022, DOI: 10.1109/TII.2022.3141416. (SCI, 中科院1)

2. Yang L, Sun Q, Ye ZS. Designing Mission Abort Strategies based on Early-Warning Signal- Application to UAV, IEEE Transactions on Industrial Informatics,2020, 16 (1): 277-287. (SCI, 中科院1)

3. Yang L, Ye ZS, Lee CG, Yang SF, Peng R. A two-phase preventive maintenance policy considering imperfect repair and postponed replacement, European Journal of Operational Research, 2019, 274: 966-977. (SCIABS四星,ESI高被引)

4. Yang L, Li G, Zhang Z, Ma X, Zhao Y. Operations & Maintenance Optimization of Wind Turbines Integrating Wind and Aging Information, IEEE Transactions on Sustainable Energy, 2021, 12 (1): 211-221. (SCI, 中科院1ESI高被引)

5. Yang L , Zhao Y , Peng R , Ma X. Hybrid preventive maintenance of competing failures under random environment. Reliability Engineering & System Safety, 2018, 174: 130-140. (SCI, 中科院1区,ABS三星,ESI高被引)

6. Zhang Z, Yang L*. State-Based Opportunistic Maintenance with Multifunctional Maintenance Windows, IEEE Transactions on Reliability, 2021, 70(4), 1481-1494. (SCI中科院top)

7. Li G, Yang L#, Lee CG, Wang X, Rong M. A Bayesian Deep Learning RUL Framework Integrating Epistemic and Aleatoric Uncertainties, IEEE Transactions on Industrial Electronics, 2021, 68(9): 8829-8841. (SCI, 中科院1)

8. Jia H, Peng R, Yang L*, Wu T, Liu D, Li Y. Reliability evaluation of demand-based warm standby systems with capacity storage, Reliability Engineering & System Safety, 2022, 218; 108132. (SCI,中科院1)

9. Yang L, Zhao Y, Peng R, Ma X. Opportunistic maintenance of production systems subject to random wait time and multiple control limits, Journal of manufacturing systems, 2018, 47: 12-34. (SCI中科院top)

10. Yang L, Peng R, Li G, Lee CG. Operations management of wind farms integrating multiple impacts of wind conditions and resource constraints, Energy Conversion and Management, 2020, 205: 112162. (SCI中科院1)

11. Yang L, Zhao Y, Ma X, Group maintenance scheduling for two-component systems with failure interaction, Applied Mathematical Modeling, 2019, 71: 118-131. (SCI中科院1)

12. Yang L, Ma X, Zhai QQ, Zhao Y. A delay time model for a mission-based system subject to periodic and random inspection and postponed replacement. Reliability Engineering & System Safety, 2016, 150: 96-104. (SCI, 中科院1)

13. Yang L, Ma X, Peng R, Zhai QQ, Zhao Y. A preventive maintenance policy based on dependent two-stage deterioration and external shocks. Reliability Engineering & System Safety, 2017, 160: 201-211. (SCI, 中科院1)

14. Ma X, Liu B, Yang L*, Peng R, Zhang X. Reliability analysis and condition-based maintenance optimization for a warm standby cooling system, Reliability Engineering & System Safety, 2020, 193: 106588. (SCI,中科院1)

15. Wang J, Yang L*, Ma X, Peng R. Joint optimization of multi-window maintenance and spare part provisioning policies for production systems, Reliability Engineering & System Safety, 2021, 216: 108006. (SCI, 中科院1)

16. Yang L, Ma X, Zhao Y. A condition-based maintenance model for a three-state system subject to degradation and environmental shocks. Computers & Industrial Engineering, 2017, 105: 210-222. (SCI, JCR Q1)

17. Wu D, Han R, Ma Y, Yang L*, Wei F, Peng R. A two-dimensional maintenance optimization framework balancing hazard risk and energy consumption rates, Computers & Industrial Engineering, 2022, DOI: 10.1016/j.cie.2022.108193. (SCI, JCR Q1)

18. Zhang Z, Yang L*. Postponed maintenance scheduling integrating state variation and environmental impact, Reliability Engineering & System Safety, 2020, 202: 107065. (SCI, 中科院1)

19. Wu T, Yang L*, Ma X, Zhang Z, Zhao Y. Dynamic maintenance strategy with iteratively updated group information, Reliability Engineering & System Safety, 2020, 197:106820. (SCI, 中科院1)

20. Yang L, Zhao Y,  Ma X. Multi-level maintenance strategy of deteriorating systems subject to two-stage inspection, Computers & Industrial Engineering, 2018, 118: 160-169. (SCI, JCR Q1)

21. Qiu Q, Cui L, Yang L*. Maintenance Policies for Energy System Subject to Complex Failure Processes and Power Purchasing Agreement. Computers & Industrial Engineering, 2018, 119: 193-203. (SCI, JCR Q1)

22. Wu T, Ma X, Yang L, Zhao Y. Proactive maintenance scheduling in consideration of imperfect repairs and production wait time, Journal of Manufacturing Systems, 2019, 53: 183-194. (SCI中科院top)

23. Wang Y, Hu Lin, Yang L, Li J. Reliability Modeling and Analysis for Linear Consecutive-k- out-of-n: F Retrial Systems with Two Maintenance Activities,Reliability Engineering & System Safety, 2022, DOI: 10.1016/j.ress.2022.108665. (SCI, 中科院1)

24. Yan B, Ma X, Yang L, Wang H, Wu T.  A novel degradation-rate-volatility related effect Wiener process model with its extension to accelerated ageing data analysis, Reliability Engineering & System Safety, 2020, 2020, 204: 107138. (SCI,中科院1)

25. Yang L, Zhao Y, Ma X, An inspection model for a multi‐component system subject to 2 types of failures, Quality & Reliability Engineering International, 2017, 33(8):2539-2549. (SCI, JCR Q2)

26. Yang L, Zhao Y, Ma X, Qiu Qingan, An optimal inspection and replacement policy for a two-unit system, Journal of Risk and Reliability, 2018, 232(6): 766-776. (SCI, JCR Q3)

27. Du Y, Shang L, Qiu Q, Yang L. Optimum Post-Warranty Maintenance Policies for Products with Random Working Cycles, Mathematics, 2022. (SCI, JCR Q1)

28. Qiu Q, Cui L, Shen J, Yang L, Optimal Maintenance Policy Considering Maintenance Errors for Systems Operating under Performance-based Contracts. Computers & Industrial Engineering, 2017, 112: 147-155. (SCI, JCR Q1)

29. Shang L, Shang G, Du Y, Qiu Q, Yang L, Dong Q. Post-Warranty Replacement Models for the Product under a Hybrid Warranty, Mathematics, 2022. (SCI, JCR Q1)

30. Wang H, Zhao Y, Ma X, Yang L, Equivalence analysis of accelerated degradation mechanism based on stochastic degradation models, Quality & Reliability Engineering International, 2017, 33(8): 2281-2294. (SCI, JCR Q2)

31. 杨力, 马小兵.维修-更换串联系统贮存可用度建模及费用分析, 兵工学报, 2015, 36(3): 552-558. (EI)

32. 马小兵, 杨力. 贮存可用度约束下的可修系统寿命评估与优化,系统工程与电子技术, 2015, 37(3): 572-576. (EI)

33. Yang L, Ma X, Zhao Y. Random and periodic inspection of mission-based systems with a defective stage. 2016 Annual Reliability and Maintainability Symposium (RAMS 2016), Tucson, USA, 25-28 January, 2016. (EI)

34. Yang L, Chen Y, Ma X, et al. Optimization of Group Preventive Maintenance Method for Aircraft Oriented to Combat Readiness. 2022 5th International Symposium on Autonomous Systems (ISAS 2022), Hangzhou, China, 8-10 April, 2022. (EI)

35. Wang J, Yang L*, Ma X, et al. Remaining Life Prediction for High-speed Rail Bearing Considering Hybrid Data-model-driven Approach. 2022 5th International Symposium on Autonomous Systems (ISAS 2022), Hangzhou, China, 8-10 April, 2022. (EI)

36. Peng T, Ma X, Yang L*, et al. Condition-based Maintenance Optimization of Multiple-Component Series System under Semi-Markov Analytical Framework. 2022 5th International Symposium on Autonomous Systems (ISAS 2022), Hangzhou, China, 8-10 April, 2022. (EI)

37. Wei F, Tan L, Yang L*, Ma X. A Reliability Evaluation and Condition-Based Maintenance Optimization Approach for Rail Bearing with Two-Phase Degradation, 10th International Symposium on Project Management (ISPM2022), Beijing, China, 18-18 June, 2022. (EI)

38. Zhou S, Wang J, Ma X, Yang L*. A state-based maintenance policy optimization for two-stage degradation system considering imperfect inspection, 10th International Symposium on Project Management (ISPM2022), Beijing, China, 18-18 June, 2022. (EI)

39. Yang L, Ma X. Parameter estimation of accelerated model for Birnbaum-Saunders distribution based on best unbiased integral estimate method, Proceedings of 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2013), Sichuan, China, 15-18 July, 2013. (EI)

40. Han R, Yang L*, Tan L, et al. Joint Predictive Replacement Management and Spare Part Planning of High-speed Railway Bearing under Bayesian Framework, The 13th International Conference on Reliability, Maintenance and Safety, Beijing, China, 21-24 Aug, 2022. (EI)

41. Wu D, Peng R, Ma Y, Yang L. Maintenance of a System with Increasing Energy Consumption Rate. 2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM 2020), Vancouver, Canada, 20- 23 October, 2020. (EI)

42. Jia H, Peng R, Yang L, Li Y. Reliability Assessment of Power Systems with Warm Standby and Energy Storage. 2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing), Nanjing, China, 15-17, October, 2021. (EI)

43. Yang L, Ma X, Zhao Y. A condition-based maintenance model based on a two-stage degradation process. 10th International Conference on Mathematical Methods in Reliability (MMR 2017), Grenoble, France, 3-6 July, 2017. (ISTP)

44. Yang L, Peng R. Operations management of wind farms integrating multiple wind impacts, 11th International Conference on Mathematical Methods in Reliability (MMR 2019), Hong Kong, China, 3-7 June, 2019. (ISTP)

 











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