教师名录

谢明江讲师
所在院系:工业工程系
办公室:532
电话:17721570723
邮箱:mingjiang@seu.edu.cn
个人简介
学习经历
工作经历

2019.08-至今,威澳门尼斯人网站,澳门威澳门威斯人网站,讲师

教授课程

工程经济学(全英文)

研究方向
可靠性;寿命预测;维修
审稿期刊
学术兼职
获奖情况

1)Chevron Graduate Scholarship (2018)

2FGSR Travel Award2018

3IPC Best Student Paper Finalist2018

4ASME OAME ChapterScholarship2016


论文著作

(1)Xie Mingjiang; Sutherland Jeff; Fang Bingyan; Gu Bill; Tian Zhigang*; Impact analysis of inline inspection accuracy on pipeline  integrity planning, Journal of Pressure Vessel Technology,  Transactions of the ASME, 2020, 142(6): 061801. (SCI)

(2) Xie Mingjiang;  Tian Zhigang*; Risk-based pipeline re-assessment optimization considering  corrosion defects, Sustainable Cities and Society, 2018, 38:  746-757. (SCI)

(3) Xie Mingjiang;  Bott Steven; Sutton Aaron; Nemeth Alex; Tian Zhigang*; An integrated  prognostics approach for pipeline fatigue crack growth prediction utilizing  inline inspection data, Journal of Pressure Vessel Technology,  Transactions of the ASME, 2018, 140(3): 031702. (SCI)

(4) Xie Mingjiang;  Tian Zhigang*; A review on pipeline integrity management utilizing in-line  inspection data, Engineering Failure Analysis, 2018, 92: 222-239.  (SCI)

(5) Zhao Fuqiong; Tian  Zhigang*; Liang Xihui; XieMingjiang; An integrated prognostics  method for failure time prediction of gears subject to the surface wear  failure mode, IEEE Transactions on Reliability, 2018, 67(1):  316-327. (SCI)

(6) Zhao Fuqiong; Xie Mingjiang; Tian Zhigang*; Zeng Yong;  Integrated equipment health prognosis considering crack initiation time  uncertainty and random shock, Chinese Journal of Mechanical  Engineering, 2017, 30(6): 1383-1395. (SCI)

  


科研项目

基于损伤评估和状态监测的管道系统个性化完整性管理的研究

国家青年科学基金项目

2021-012023-12

主持

24

Advanced Prognostics and Maintenance Optimization Methodologies for  System Health Management

加拿大自然科学与工程研究基金项目

2018-052023-04

参与

80

Investigation of Methods for Pipeline Integrity Planning and Defect  Assessment

加拿大自然科学与工程研究基金项目

2017-032017-10

参与

15

Preliminary Study of Pipeline Fatigue Crack Growth Prediction Utilizing  Inline Inspection Data

加拿大自然科学与工程研究基金项目

2015-102016-05

参与

15


专利