王治华，博士，教授 / 博士生导师 

联系方式：Tel: 86-10-82315945；Email: wangzhihua@buaa.edu.cn

通信地址：北京航空航天大学固体力学研究所，100191

个人简介：

本科毕业于大连理工大学工程力学专业，获北京航空航天大学工程力学专业博士学位。2009年6月至今在北京航空航天大学固体力学所从事科研和教学工作，期间于2014.1-12到美国NorthwesternUniversity智能结构失效预防中心进行学术交流和访问。

目前讲授本科必修课三门：《材料力学》（国家级精品课）、《概率论与数理统计》；研究生专业必修课《疲劳强度》。

研究方向：

复杂系统性能退化建模与可靠性分析；服役状态智能监测与寿命预测；小样本寿命试验优化设计与评估。

近年来致力于飞行器安全性与可靠性研究，在小样本可靠性工程、复杂系统单机状态监测及寿命试验优化设计与评估等方面开展了系统深入的研究，取得了一系列原创性的研究成果。已发表SCI/EI收录论文60余篇，近五年第一/通讯作者发表可靠性领域高水平SCI收录论文23篇，其中包括机械工程领域顶级期刊Mechanical System and Signal Processing、可靠性领域顶级期刊Reliability Engineering and System Safety和IEEE Transactions on Reliability；申请国家发明专利15项，其中授权12项。现为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、中国仪器仪表协会结构健康监测分会高级会员。

先后主持国家自然科学基金（青年、面上）、国家重点研发计划子课题、航天创新基金、航天科学基金等10余项纵向项目。研究成果已成功应用于工程实践，攻克了多个航天器型号研制中的技术难题，获得研制单位的高度认可。

代表论文：

[1]Junxing Li, Zhihua Wang*,Yongbo Zhang, Huimin Fu, Chengrui Liu, Sridhar Krishnaswamy. Degradationdata analysis based on a generalized Wiener process subject to measurementerror. Mechanical Systems and Signal Processing 2017; 94: 57-72.

[2]Zhihua Wang, Yongbo Zhang, QiongWu, Huimin Fu, Chengrui Liu, Sridhar Krishnaswamy. Degradation reliabilitymodeling based on an independent increment process with quadratic variance. MechanicalSystems and Signal Processing 2016; 70-71: 467-483.

[3]Junxing Li, Zhihua Wang*,Yongbo Zhang, Chengrui Liu, Huimin Fu. A nonlinear Wiener process degradationmodel with autoregressive errors. Reliability Engineering and System Safety2018; 173: 48-57.

[4]Xinlei Wen, Zhihua Wang*,HuiminFu, Qiong Wu, Chengrui Liu. BLUEs and reliability analysis for general censoreddata subject to Inverse Gaussiandistribution. IEEE Transactions on Reliability 2018; Online.10.1109/TR.2018.2886555.

[5]Junxing Li, Zhihua Wang*,Yongbo Zhang, Huimin Fu, Chengrui Liu, Sridhar Krishnaswamy. Remaining usefullife prediction and reliability analysis for an individual ion thruster.Journal of Propulsion and Power 2016; 32(4): 948-957.

[6]Zhihua Wang, JunxingLi, Xiaobing Ma, Yongbo Zhang, Huimin Fu, Sridhar Krishnaswamy. A generalizedWiener process degradation model with two transformed time scales. Quality andReliability Engineering International 2017; 94: 57-72.

[7]Zhihua Wang, Huimin Fu, YongboZhang. Analyzing degradation by an independent increment process. Quality andReliability Engineering International 2014; 30(8): 1275-1283.

[8]Zhihua Wang*, Junxing Li, YongboZhang, Huimin Fu, Chengrui Liu, Sridhar Krishnaswamy. A novel Wienerprocess model with measurement errors for degradation analysis. EIN- Maintenance andReliability 2016; 18 (3): 396-405.

[9]Junxing Li, Zhihua Wang*,Xia Liu, Yongbo Zhang, Huimin Fu, Chengrui Liu. A Wiener process model for accelerated degradation analysisconsidering measurement errors. Microelectronics Reliability 2016; 65:8-15.

[10]       Zhihua Wang, Jiangming Cao,Xiaobing Ma, Huayong Qiu, Yongbo Zhang, Huimin Fu, Sridhar Krishnaswamy. Animproved independent increment process degradation model with bilinearproperties. The Arabian Journal forScience and Engineering 2017; 42(7): 2927- 2936.

[11]       Zhihua Wang, Yongbo Zhang, HuiminFu. Autoregressive prediction withrolling mechanism for time series forecasting with small sample size.Mathematical Problems in Engineering, 2014; 572173.

[12]       Chengrui Liu, ZhihuaWang*, Huimin Fu, Yongbo Zhang. A novel approach for nonstationary timeseries analysis with time-invariante correlation coefficient. MathematicalProblems in Engineering 2014; 148432.