尹晓静

发布者:机电工程学院管理员发布时间:2019-08-06浏览次数:1051

机电工程学院研究生指导教师基本情况表

基本信息

        名:

尹晓静

       别:

        称:

 

       位:

 

毕业院校:

长春工业大学

主要任职:

高校教师

导师类别:

硕士生导师

所在学院:

机电工程学院

办公电话:

0431-85716303

人员状态:

在职

电子信箱:

yinxiaojing2011@163.com

研究方向

机械性能状态监测及故障诊断/材料服役性能预测评价

教育经历

工作经历

2011-2014,长春工业大学,机械设计及理论专业,工学硕士;

2014-2017,长春工业大学,机械工程专业,工学博士;

2018-至今,长春工业大学,工作

科学研究成果

1. A double layer BRB model for health prognostics in complex electromechanical system. IEEE Access, 2017, 5: 23833-23847. SCI, WOS000415171300023

2. A new health estimation model for CNC machine tool based on infinite irrelevance and belief rule base. Microelectronics Reliability, 2018, 84: 187-196.SCI, WOS000431939000023

3. Health estimation of fan based on belief-rule-base expert system in turbofan engine gas-path. Advances in Mechanical Engineering, 2017, 9(3): 1-11.SCI, WOS000400337200001

4. Fault diagnosis based on grey relational analysis and synergetic pattern recognition for aero-engine gas-path systems. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2019. SCI, DOI: 10.1177/0954410019827657

5. A novel health estimation model for CNC machine tool servo system based on belief-rule-base. 2017 Prognostics and System Health Management Conference, PHM-Harbin 2017-Proceedings, 2017. EI20180204618218

6. Fault prediction of brightness sensor based on BRB in rail vehicle compartment LED lighting system. CAA SAFEPROCESS 2019, 2019. EI

1. 基于双层置信规则库的高速列车通信网络健康状态预测方法研究,国家自然科学基金青年基金项目,2019-202127万元