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杨力

姓名 杨力
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学校 北京航空航天大学
部门 可靠性与系统工程学院
学位 博士
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同专业硕导 杨力 赞149 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 教师拼音名称:Yang Li 电子邮箱:yanglirass@buaa.edu.cn 所在单位:可靠性与系统工程学院 职务:副教授 办公地点:为民楼602 联系方式:yanglirass@buaa.edu.cn 学位:博士 学科:控制科学与工程 个人简介 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工业工程系维护与可靠性工程中心(C-MORE),目前为北航卓越百人计划副教授。 近年来以第一和通讯作者等身份在IEEE Transactions on Reliability、 IEEE Transactions on Industrial Electronics,IEEE Transactions on Industrial Informatics,European Journal of Operational Research、 Reliability Engineering & System Safety、Computers & Industrial Engineering、RIsk analysis 等系统可靠性、工业工程、运维优化和健康管理等领域国际顶级期刊上发表论文80余篇,其中SCI论文52余篇(包括中科院一区/top论文32篇,JCR Q1区论文38篇,ABS3/4星论文15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1800余次,H指数23,i10指数32。形成ESI热点论文(工程领域同期引用世界前千分之一)1篇,ESI高被引论文(工程领域同期引用世界前百分之一)6篇,获省部级科技进步一等奖1项。 指导本科生获北京市优秀本科毕业设计(2次)、全国航空航天类本科毕设交流会一等奖、北航优秀本科毕业设计(2次)以及北航优秀毕业生等荣誉。指导研究生多次获得国家奖学金、校长奖学金和北航优秀学术成果等荣誉 。担任校一流本科生核心基础课《概率统计与随机过程》(56学时)、核心专业课《航空维修保障工程基础》(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,获校级教学成果二等奖1项。 以项目负责人身份主持国家自然科学基金、技术基础、装备预研基金、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《Complex Engineering Systems》和《International Journal of Data Analysis and Strategies》的编委,SCI期刊《Mathematics》客座编辑,ICEOM、QR2MSE-ICRSE和ISSA-ROD等国际会议分会场主席。同时担任国际电气与电子工程师协会(IEEE)和INFORMS会员,以及30余个国际期刊的审稿人。 招生计划 每年计划招收质量与可靠性、工业工程、机械工程、管理科学与工程、安全工程、数理统计等方向的研究生。 研究领域 运维决策优化理论、方法与应用 系统可靠性建模分析与验证评价 设备智能状态预测与健康管理 机器学习方法与领域应用 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 《Complex Engineering Systems》国际期刊编委 《International Journal of Data Analysis and Strategies》国际期刊编委  IEEE/INFORMS会员  IISE、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, Ma X, et al. A Prognosis-centered Intelligent Maintenance Optimization Framework under Uncertain Failure Threshold, IEEE Transactions on Reliability, 2023, DOI: DOI: 10.1109/TR.2023.3273082. (SCI,中科院top) 2. Jia H, Peng R, Yang L*, et al. Reliability evaluation of demand-based warm standby systems with capacity storage, Reliability Engineering & System Safety, 2022, 218; 108132. (SCI,中科院1区) 3. Yang L, Zhao Y, Peng R, Ma X. Hybrid preventive maintenance optimization of competing failures under random environment. Reliability Engineering & System Safety, 2018, 174: 130-140. (SCI,中科院1区, ESI高被引) 4. Yang L, Ye ZS, Lee CG, Yang S, et al. A two-phase preventive maintenance policy considering imperfect repair and postponed replacement, European Journal of Operational Research, 2019, 274: 966-977. (SCI,ABS四星,ESI高被引) 5. Yang L, Chen Y, Qiu Q, et al. 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区,ESI热点,  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. Yang L, Wei F, Qiu Q. Mission Risk Control via Joint Optimization of Sampling and Abort Decisions, Risk Analysis, 2023, DOI: 10.1111/risa.14187. (SCI,ABS四星) 8. Wu T, Wei F, Yang L*, Ma X, et al. Maintenance optimization of k-out-of-n Load-Sharing Systems Under Continuous Operation, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, DOI: 10.1109/TSMC.2023.3279310. (SCI,中科院1区) 9.Yang L, Chen Y, Ma X. A State-age-dependent Opportunistic Intelligent Maintenance Framework for Wind Turbines Under Dynamic Wind Conditions, IEEE Transactions on Industrial Informatics, 2023, DOI: 10.1109/TII.2023.3240727. (SCI,中科院1区) 10. 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区) 11. 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1区,ESI高被引) 13. 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区) 14. 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) 15. 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区) 16. 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区) 17. 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区) 18. 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区) 19. 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区) 20. 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区) 21. 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) 22. 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) 23. 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区) 24. 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区) 25. 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) 26. 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) 27. 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) 28. 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区) 29. 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) 30. 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) 31. Du Y, Shang L, Qiu Q, Yang L. Optimum Post-Warranty Maintenance Policies for Products with Random Working Cycles, Mathematics, 2022. (SCI, JCR Q1) 32. 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) 33. 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) 34. 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) 35. 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) 36. 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) 37. 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) 38. 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) 39. 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) 40. 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) 41. 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) 42. 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) 43. 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) 44. 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) 45. 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) 46. 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) 47. 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) 48. 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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