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Introduction
杨力,副教授,硕士生导师,入选2019年北京航空航天大学卓越百人计划。18年博士毕业于北航系统工程专业,学位论文获北航校级优秀博士学位论文。博士毕业后任职于多伦多大学机械与工业工程系,担任博士后研究员(postdoctoral fellow)职务。2020年4月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。 近五年,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 等工业工程、可靠性和健康管理等领域的国际顶级期刊上发表SCI论文20余篇,国际会议论文10余篇。研究成果累计引用500余次,包括2篇ESI高被引论文。 目前担任国际期刊《International Journal of Data Analysis and Strategies》的编委,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。曾以项目骨干身份主持或参与多项国家自然科学基金、技术基础和型号工程项目。 招生计划 每年计划招收2名硕士研究生。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、计算机、人工智能等。 研究领域 智能运维优化 状态监测和故障预测 可靠性分析和风险评估 机器学习方法和应用 学术兼职 《International Journal of Data Analysis and Strategies》编委 IEEE会员 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, Li G, Zhang Z, Ma X, Weather-centered Operations & Maintenance for offshore wind turbines, IEEE Transactions on Sustainable Energy, 2020, DOI: 10.1109/TSTE.2020.2986586. [2] 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, 2020. DOI: 10.1109/TIE.2020.3009593. [3] Yang L, Sun Q, Ye ZS, Designing Mission Abort Strategies based on Early-Warning Signal-Application to UAV, IEEE Transactions on Industrial Informatics, 2019, DOI:10.1109/TII.2019. 2912427. [4] Zhang Z, Yang L. State-Based Opportunistic Maintenance With Multifunctional Maintenance Windows, IEEE Transactions on Reliability, 2020. DOI: 10.1109/TR.2020.2995277. [5] 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, 2018, 274 (3), 966-977. [6] 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, DOI: 10.1016/j.enconman.2019.112162. [7] Yang L, Zhao Y, Peng R, Ma X, Hybrid preventive maintenance of competing failures under random environment, Reliability Engineering and System Safety, 2018, 174: 130-140. [8] 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 and System Safety, 2017, 160: 201-211. [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. [10] 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 and System Safety, 2016, 150: 96-104. [11] 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. [12] 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. [13] Yang L, Zhao Y, Ma X, Group maintenance scheduling for two-component systems with failure interaction, Applied Mathematical Modeling, 2019, 71: 118-131. [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, 2019, DOI: 10.1016/j.ress.2019.106588 [15] 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. [16] 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. [17] 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. [18] 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. [19] 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. [20] 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, DOI:10.1016/j.ress.2020.107138 [21] Zhang Z, Yang L*. Postponed maintenance scheduling integrating state variation and environmental impact, Reliability Engineering & System Safety, 2020, DOI: 10.1016/j.ress.2020.107065. [22] Wu T, Yang L, Ma X, Zhang Z, Zhao Y. Dynamic maintenance strategy with iteratively updated group information, Reliability Engineering & System Safety, 2020, DOI: 10.1016/j.ress.2020.106820. [23] 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, DOI: 10.1016/j.jmsy.2019.09.011. [24] Yang L, Ma X. Storage availability modeling and cost analysis for repairable series systems, Acta Armamentarii, 2015, 36(3): 552-558 [25] Ma X, Yang L. Lifetime assessment and evaluation for repairable storage systems under availability constraint, System Engineering and Electronic Technology, 2015, 37(3): 572-576. [26] Yang Li, Ma Xiaobing, Zhao Yu. 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. [27] Yang Li, Ma Xiaobing. A condition-based maintenance model based on a two-stage degradation process. 10 th International Conference on Mathematical Methods in Reliability (MMR 2017),Grenoble, France, 3-6 July, 2017. [28] Yang Li, Operations management of wind farms integrating multiple wind impacts, 11 th International Conference on Mathematical Methods in Reliability (MMR 2019), Hong Kong, China, 3- 7 June, 2019.
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