王自力
中国工程院院士，北京航空航天大学教授，可靠性系统工程技术专家
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王自力
中国工程院院士，北京航空航天大学教授，可靠性系统工程技术专家
个人履历：
王自力：男，1964年10月生，四川南充人，中国工程院院士，北京航空航天大学研究员、博士生导师，北航可靠性与系统工程学院党委书记兼任可靠性与环境工程重点实验室主任、中国航空学会可靠性分会主任、中国航天科工质量与可靠性技术中心专家咨询委员会主任委员、中国质量万里行专家委员会主任委员等职。1985年获北京航空学院电气工程学士学位；1988年获北京航空学院飞机设计（可靠性工程）硕士学位。长期从事可靠性系统工程理论研究与重大工程管理实践，形成可靠性综合集成理论，已成功用于多个重大型号研制，突破“两张皮”技术瓶颈，推动质量设计技术变革，走出了我国可靠性系统工程从引进吸收到集成创新的特色发展之路。主持了10多项国家和省部级科技领域的重大、重点项目。获得国家或省部级科技成果一、二等奖11项，其中以第一完成人获国家科技进步二等奖2项。两度受聘973技术首席，发表高水平学术论文140余篇，主编出版共12册的《可靠性•维修性•保障性技术丛书》，出版专著7部，授权发明专利30余项，培养博士38人、硕士48人。先后获国家科技进步二等奖2项（排一）、省部级科技进步一等奖4项，率团队集体荣获国家科技进步特等奖2项。
论文代表：
Adaptive evolution enhanced physics-informed neural networks for time-variant health prognosis of lithium-ion batteries，《Journal of Power Sources》2023/10.1016/j.jpowsour.2022.232432；
Multi-level predictive maintenance of smart manufacturing systems driven by digital twin: A matheuristics approach，《Journal of Manufacturing Systems》2023/10.1016/j.jmsy.2023.05.004；
A modified connectivity link addition strategy to improve the resilience of multiplex networks against attacks，《Reliability Engineering and System Safety》2022/10.1016/j.ress.2021.108294；
Performance reliability analysis and optimization of lithium-ion battery packs based on multiphysics simulation and response surface methodology，《Journal of Power Sources》2021/10.1016/j.jpowsour.2021.229567；
Fatigue Reliability Analysis Method of Reactor Structure Considering Cumulative Effect of Irradiation，《Materials》2021/10.3390/ma14040801；
An improved inverse Gaussian process with random effects and measurement errors for RUL prediction of hydraulic piston pump，《Measurement》2020/10.1016/j.measurement.2020.108604；
Characterization and reconstruction for stochastically distributed void morphology in Nanosilver sintered joints，《Materials & Design》2020/10.1016/j.matdes.2020.109079；
Investigation of Step-Stress Accelerated Degradation Test Strategy for Ultraviolet Light Emitting Diodes，《Materials》2019/10.3390/ma12193119；
A Combined Method for Analog Circuit Fault Diagnosis Based on Dependence Matrices and Intelligent Classifiers，《IEEE Transactions on Instrumentation and Measurement》2019/10.1109/TIM.2019.2905307；
The effect of reactant consumption on thermal explosion of battery by using kinetic-based simulation approach，《Journal of Thermal Analysis & Calorimetry》2018/10.1007/s10973-017-6626-4；
A subspace learning-based feature fusion and open-set fault diagnosis approach for machinery components，《Advanced Engineering Informatics》2019/10.1016/j.aei.2018.04.006；
A GO-FLOW and Dynamic Bayesian Network Combination Approach for Reliability uation With Uncertainty: A Case Study on a Nuclear Power Plant，《IEEE Access》2017/10.1109/ACCESS.2017.2775743；
Fault Propagation Reasoning and Diagnosis for Computer Networks Using Cyclic Temporal Constraint Network Model，《IEEE Transactions on Systems, Man, and Cybernetics: Systems》2017/10.1109/TSMC.2016.2583509；
Intermittent failure process and false alarm interaction modelling of threshold-based monitoring built-in tests (BITs)，《International Journal of Production Research》2016/10.1080/00207543.2015.1023403；
A modified GO-FLOW methodology with common cause failure based on Discrete Time Bayesian Network，《Nuclear Engineering & Design》2016/10.1016/j.nucengdes.2016.06.010；
An analytical model of electronic fault diagnosis on extension of the dependency theory，《Reliability Engineering & System Safety》2015/10.1016/j.ress.2014.09.015；
A novel logic-based approach for failure modes mitigation control and quantitative system reliability analyses，《Eksploatacja I Niezawodnosc Maintenance &》2015/10.17531/ein.2015.1.14。
讲座课程：
《质量强国时代的可靠性系统工程》
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