个人简历

王立志，博士，副研究员，硕士生导师，北航蓝天新秀，北航青年拔尖人才。参与多个无人机系统（含国家一级定型）研制工作，担任主任设计师，负责全系统可靠性、维修性、测试性、安全性、保障性以及环境适应性等通用质量特性的论证、设计、试验及鉴定等具体工作。\r
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主持了国家自然科学基金2项、装备预研领域基金、基础加强计划技术领域基金、航空科学基金、航天科学技术基金、中央高校基本科研业务费专项资金资助项目及相关企业横向课题等项目，参加了科技部创新2030“新一代人工智能”重大项目、中国科学院战略性先导科技专项（A类）、国防科技创新特区、军口863计划、技术基础、973课题等项目。\r
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发表SCI/EI论文30余篇，其中第一作者（通讯）身份发表SCI论文18篇，授权国家发明专利16项，专利成果转化4项。曾在美国亚利桑那州立大学访学。中国航空学会无人机及微型飞行器分会会员。\r
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教育经历\r
2007.9 -- 2013.7 北京航空航天大学 系统工程 博士研究生毕业 博士学位\r
2003.9 -- 2007.7 北京航空航天大学 飞行器设计（可靠性） 大学本科毕业 学士学位\r
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工作经历\r
2013.8 -- 至今 北京航空航天大学 无人系统研究院 教师\r
2015.1 -- 至今 北京航空航天大学 可靠性与系统工程学院 硕士研究生导师

研究领域

"可靠性系统工程\r
无人系统分析、建模、评估与决策技术\r
无人机蜂群技术、无人系统体系应用、多智能体仿真、群体智能\r
多源信息融合、智能算法与寿命预测、特征提取技术、PHM\r
可靠性试验、加速退化试验、环境试验、试验设计与验证技术开发"

近期论文

Wang Lizhi, Pan R, Wang X, et al. A Bayesian reliability evaluation method with different types of data from multiple sources[J]. Reliability Engineering & System Safety, 2017, 167: 128-135.,2019\r
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Wang Lizhi, Pan R, Li X, et al. A Bayesian reliability evaluation method with integrated accelerated degradation testing and field information[J]. Reliability Engineering & System Safety, 2013, 112: 38-47.,2019\r
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Wang Lizhi, Lu D, Zhang Y, et al. A Complex Network Theory-Based Modeling Framework for Unmanned Aerial Vehicle Swarms[J]. Sensors, 2018, 18(10): 3434.,2019\r
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Wang X, Zhang Y , Wang Lizhi,*, Wang J, Lu J. Maintenance grouping optimization with system multi-level information based on BN lifetime prediction model[J]. Journal of Manufacturing Systems, 2019,50(2019):201-211.,2019\r
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Wang Lizhi, Sun Y, et al. Motor Health Status Prediction Method Based on Information from Multi-Sensor and Multi-Feature Parameters[J]. Journal of Nondestructive Evaluation,2019.38:46.,2019\r
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Wang X, Zhang Y, Wang Lizhi,* et al. Robustness Evaluation Method for Unmanned Aerial Vehicle Swarms Based on Complex Network Theory[J]. Chinese Journal of Aeronautics,2019.,2019\r
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Wang Lizhi*, Sun Y, et al. Reliability Modeling Method for Lithium-ion Battery Packs Considering the Dependency of Cell Degradations Based on a Regression Model and Copulas[J].Materials, 2019,12,1054.,2019\r
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Wang X, Fan W, Li,X, Wang Lizhi*.Weak Degradation Characteristics Analysis of UAV Motors Based on Laplacian Eigenmaps and Variational Mode Decomposition[J]. Sensors, 2019, 19:524.,2019\r
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Wang X, He Y, Wang Lizhi*. Study on Mutual Information and Fractal Dimension-Based Unsupervised Feature Parameters Selection: Application in UAVs[J]. Entropy, 2018, 20(9): 674.,2019\r
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Wang X, Wang Z, Wang Lizhi, et al. Dependency analysis and degradation process-dependent modeling of lithium-ion battery packs[J]. Journal of Power Sources,2019,414(2019):318-326.,2019\r
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Wang X, Guo H, Wang J, Wang Lizhi*. Predicting the Health Status of a UAV Data-link System based on a Bayesian Network[J]. Sensors, 2018, 2018, 18(11):3916.,2019\r
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Wang J, Wang X, Wang Lizhi*. Modeling of BN Lifetime Prediction of a System Based on Integrated Multi-Level Information[J]. Sensors, 2017, 17(9): 2123.,2019\r
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Fan W, Wang X, Wang Lizhi*, et al. The application of Hilbert–Huang transform energy spectrum in brushless direct current motor vibration signals monitoring of unmanned aerial vehicle[J]. Advances in Mechanical Engineering, 2016, 8(9): 1687814016671249.,2019\r
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Xuan J, Wang X, Lu D, Wang Lizhi*. Research on the safety assessment of the brushless DC motor based on the gray model[J]. Advances in Mechanical Engineering, 2017, 9(3): 1687814017695438.,2019
中国航空学会无人机及微型飞行器分会会员
中国航空学会可靠性分会会员