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王艺玮 Yiwei WANG

作者:       发布: 2018-11-12      来源:

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姓名:王艺玮 英文名:Yiwei WANG

出生年月

1988-11

籍贯

陕西渭南

职称

助理教授

学历

博士

电话

13810097031

办公室

A512

系别

工业及制造系统工程系

职务

讲师

电子信箱

wangyiwei@buaa.edu.cn

传真

个人主页

学习经历

2006.9-2010.6 北京交通大学 机械及电子控制工程美高梅,机械工程及自动化,学士

2010.9-2013.6 北京航空航天大学 美高梅官网注册开户-澳门mgm手机登录网站,工业及制造系统工程系,硕士

2013.9-2017.8 法国图卢兹国立应用科学美高梅(INSA de Toulouse),机械工程系,博士

工作经历

2018.11-至今 北京航空航天大学 工业及制造系统工程系,助理教授

2017.8-2018.10 南京理工大学 机械工程美高梅 项目聘用人员

2016.8-2016.11 美国佛罗里达大学 机械与航空工程系 项目合作

研究领域

复杂系统状态监测、诊断、预测及健康管理; 产品智能服务与保障。面向提高复杂系统可靠性、维护性、测试性和安全保证性,提高运维效率的需求,研究设备运行状态实时监测、传感数据特征提取、状态类型在线诊断、状态发展趋势预测、剩余寿命预测、预防性维护策略规划等关键技术,致力于实现基于车间实时监测数据的设备状态诊断和预测,形成复杂系统状态监测诊断预测及健康管理技术体系,为智能运维提供关键技术和系统支撑。

荣誉及奖励

2009.06 本科生国家奖学金

2013.06 北京航空航天大学 优秀硕士论文

2013.06 研究生国家奖学金

开授课程

系统诊断预测及健康管理,研究生课程

教学及科研成果

(一)承担科研项目:

[1] 国家科技重大专项04专项,《特种典型零部件制造领域国产数控系统换脑工程》子课题,立项号:2017ZX04011001,执行期2017-201971.6

[2] 国家自然基金,基于深度学习的精密滚珠丝杠副服役性能退化过程状态评估及预测方法研究,批准号:51805262,执行期2019-202125

(二)发表学术论文:

SCI期刊论文-已发表】

(1) Y. Wang, C. Gogu, N. Binaud, C. Bes, J.Fu, A model-based prognostics method of fatigue crack growth in fuselage panels, Chinese Journal of Aeronautics, In press (2018)

(2) Y. Wang, C. Gogu, N. Binaud, C. Bes, R.T. Haftka, N.H. Kim, Predictive airframe maintenance strategies using model-based prognostics, Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, (2018).

(3) H. Feng, R. Chen, Y. Wang, Feature extraction for fault diagnosis based on wavelet packet decomposition: An application on linear rolling guide, Advances in Mechanical Engineering, 10 (2018)

(4) Y. Wang, C. Gogu, N.H. Kim, R.T. Haftka, N. Binaud, C. Bes, Noise-dependent ranking of prognostics algorithms based on discrepancy without true damage information, Reliability Engineering & System Safety, in press (2017).

(5) Y. Wang, C. Gogu, N. Binaud, C. Bes, R.T. Haftka, N.H. Kim, A cost driven predictive maintenance policy for structural airframe maintenance, Chinese Journal of Aeronautics, 30 (2017) 1242-1257.

(6) Y. Wang, N. Binaud, C. Gogu, C. Bes, J. Fu, Determination of Paris' law constants and crack length evolution via Extended and Unscented Kalman filter: An application to aircraft fuselage panels, Mechanical Systems and Signal Processing, 80 (2016) 262-281.

SCI期刊论文-已提交】

(7) Intelligent diagnostics of lubrication states of ball screw using multiple time-frequency features with LSTM network.

SCI期刊论文-准备中】

(8) A review on prognostics techniques in industry application-literature in the recent five years

EI收录】

(1) Y. Wang, C. Gogu, N. Binaud, C. Bes, Predicting remaining useful life by fusing SHM data based on Extended Kalman Filter, 25th European safety and reliability conference, Taylor & Francis, 2015, pp. 7-10.

(2) L.Dominique.Cot, Y.Wang, C.Bes, C.Gogu, Scheduled and SHM Structure Airframe Maintenance Applications Using a New Probabilistic Model,7th European Workshop on Structural Health Monitoring, Nantes, France.

【国际学术会议】

(1) Y.Wang, N.H.Kim, R.Haftka, Physics-based prognostics-promises and challenges. Proceedings of the Asia Pacific Conference of the Prognostics and Health Management Society 2017

(2) Y.Wang, C.Gogu, N.Binaud, C.Bes, Comparing structural airframe maintenance strategies based on probabilistic estimates of the remaining useful service life

学术与社会服务

“Smart Structures and Systems”、“Advances in Mechanical Engineering”等SCI期刊审稿人

Curriculum Vitae (CV)

Educations

2006.9-2010.7 Beijing Jiaotong University, Mechanical Engineering and Automation, B.S., Beijing, China.

2010.9-2013.6 Beihang University, Industrial and Manufacturing System Engineering, M.S., Beijing, China.

2013.9-2017.8 Institut National des Sciences Appliquées de Toulouse, Mechanical Engineering, Ph.D, Toulouse, France.

2016.8-2016.11 University of Florida, Department of Mechanical and Aerospace Engineering, visiting scholar.

Work experiences

2018.11-present, Beihang University, assistant professor.

2017.8-2018.10, Nanjing University of Science and Technology.

Research Interests

Intelligent fault diagnostics, prognostics and health management, model-based and data-driven prognostics approaches, cyber-physical system.

Publications

Journal paper

Accepted:

(1) Y. Wang, C. Gogu, N. Binaud, C. Bes, J.Fu, A model-based prognostics method of fatigue crack growth in fuselage panels, Chinese Journal of Aeronautics, In press (2018)

(2) Y. Wang, C. Gogu, N. Binaud, C. Bes, R.T. Haftka, N.H. Kim, Predictive airframe maintenance strategies using model-based prognostics, Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, (2018).

(3) H. Feng, R. Chen, Y. Wang, Feature extraction for fault diagnosis based on wavelet packet decomposition: An application on linear rolling guide, Advances in Mechanical Engineering, 10 (2018)

(4) Y. Wang, C. Gogu, N.H. Kim, R.T. Haftka, N. Binaud, C. Bes, Noise-dependent ranking of prognostics algorithms based on discrepancy without true damage information, Reliability Engineering & System Safety, in press (2017).

(5) Y. Wang, C. Gogu, N. Binaud, C. Bes, R.T. Haftka, N.H. Kim, A cost driven predictive maintenance policy for structural airframe maintenance, Chinese Journal of Aeronautics, 30 (2017) 1242-1257.

(6) Y. Wang, N. Binaud, C. Gogu, C. Bes, J. Fu, Determination of Paris' law constants and crack length evolution via Extended and Unscented Kalman filter: An application to aircraft fuselage panels, Mechanical Systems and Signal Processing, 80 (2016) 262-281.

Submitted to journal:

Intelligent diagnostics of lubrication states of ball screw using multiple time-frequency features with LSTM network.

Under preparation:

A review on prognostics techniques in industry application-literature in the recent five years

Conference paper

(1) Y. Wang, C. Gogu, N. Binaud, C. Bes, Predicting remaining useful life by fusing SHM data based on Extended Kalman Filter, 25th European safety and reliability conference, Taylor & Francis, 2015, pp. 7-10.

(2) L.Dominique.Cot, Y.Wang, C.Bes, C.Gogu, Scheduled and SHM Structure Airframe Maintenance Applications Using a New Probabilistic Model,7th European Workshop on Structural Health Monitoring,Nantes, France.

(3) Y.Wang, N.H.Kim, R.Haftka, Physics-based prognostics-promises and challenges. Proceedings of the Asia Pacific Conference of the Prognostics and Health Management Society 2017

(4) Y.Wang, C.Gogu, N.Binaud, C.Bes, Comparing structural airframe maintenance strategies based on probabilistic estimates of the remaining useful service life

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