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                                                    肖雷

                                                    来源:孙博发稿时间:2019-10-22浏览次数:765

                                                    姓名:肖雷

                                                    性别:

                                                    职称:讲师

                                                    职务:

                                                    最高学位:博士

                                                    个人简介:20166月毕业于重庆大学,获得管理学学位,曾受CSC资助在美国Rutgers大学工业与系统工程系进行博士联合培养。博士毕业后先后在中国航发商用航空发动机有限责任公司和上海交通大学工作。主要从事设备预测性维修与健康管理等方面的研究工作。主持国家自然科学基金项目1项、中国博士后科学基金面上项目1项、中央高?;究蒲幸滴穹炎ㄏ钭式鹱杂商剿飨钅?/span>1项。以第一作者或通讯作者发表SCI/EI论文10余篇。



                                                    研究方向:

                                                    1. 设备预测性维修与健康管理

                                                    2. 设备微弱故障检测



                                                    学术兼职:

                                                    1.IEEE 会员

                                                    2. IISE Transactions》、《IEEE Transactions on Reliability》、《Reliability Engineering & System Safety》、《International Journal of Production Research》、《Computers and Industrial Engineering》、《Flexible Services and Manufacturing Journal》等多个可靠性领域和工业工程领域顶级期刊和权威期刊匿名审稿人。



                                                    科研成果:

                                                    项目 :

                                                    1.国家自然科学基金  样本受限下的关键传动设备衰退演化预测及视情维修决策  在研、主持

                                                    2.中国博士后科学基金面上项目  基于衰退机制的作业车间生产调度与视情维修集成优化  已结题、主持

                                                    3. 中央高?;究蒲幸滴穹炎ㄏ钭式鹱杂商剿飨钅? 基于振荡共振理论的设备状态维护关键技术研究  在研、主持

                                                    4. 东华大学青年教师科研启动资助项目  基于振荡共振理论和机器学习的传动设备早期故障预诊方法研究  在研、主持

                                                    5. 国家自然科学基金面上项目  基于图像流预测和网络化调度的广域运维租赁产线群组维护建模方法研究  在研、参与

                                                    3. 国家自然科学基金重点项目  基于局域强信号与位域空间变换的关键传动设备故障预示与诊断方法研究  已结题、参与



                                                    论文 :

                                                    1.Lei Xiao*, Tangbin Xia, Ershun Pan & Xinghui Zhang. Long-term predictive opportunistic replacement optimisation for a small multi-component system using partial condition monitoring data to date. International Journal of Production Research. 2019. DIO:10.1080/00207543.2019.1641236 (SCI)

                                                    2.Lei Xiao, Xinghui Zhang, Siliang Lu*, Tangbin Xia, Lifeng Xi. A novel weak-fault detection technique for rolling element bearing based on vibrational resonance. Journal of Sound and Vibration. 2019, 438, 490-505. (SCI)

                                                    3. Tangbin Xia, Yifan Dong, Lei Xiao*, Shichang Du, Ershun Pan, Lifeng Xi. Recent advances in prognostics and health management for advanced manufacturing paradigms. Reliability Engineering & System Safety. 2018, 178, 255-268. (SCI)

                                                    4.Lei Xiao* and Tangbin Xia. Opportunistic replacement optimization for multi-component system based on programming theory. Journal of Shanghai Jiao Tong University. 2018, 23(Supplement 1): 77–84. (EI)

                                                    5. Lei Xiao*, Xinghui Zhang, Tangbin Xia, Ershun Pan. A novel weak bearing fault detection method based on vibrational resonance. 2018 Prognostics and Health Management, Chongqing, China.  EI)最佳论文奖

                                                    6. Hanxin Feng, Lifeng Xi, Lei Xiao, Tangbin Xia, Ershun Pan*. Imperfect preventive maintenance optimization for flexible flowshop manufacturing cells considering sequence-dependent group scheduling. Reliability Engineering & System Safety. 2018, 176, 218-229.SCI

                                                    7. Tangbin Xia, Lifeng Xi, Shichang Du, Lei Xiao, Ershun Pan*. Energy-oriented maintenance decision-making for sustainable manufacturing based on energy saving window. ASME Transactions, Journal of Manufacturing Science and Engineering. 2018, 140(5), 051001: 1-12. SCI

                                                    8. Lei Xiao*, Xiaohui Chen, Xinghui Zhang, Min Liu. A novel approach for bearing remaining useful life estimation under neither failure nor suspension histories condition. Journal of Intelligent Manufacturing. 2017, 28(8): 1893-1914. SCI

                                                    9. Xiaohui Chen, Dawei Xu*, Lei Xiao. Joint optimization of replacement and spare ordering for critical rotary component based on condition signal to date, Eksploatacja I Niezawodnosc – Maintenance and Reliability. 2017, 19(1): 76-85. SCI

                                                    10.Lei Xiao, Sanling Song, Xiaohui Chen, David W. Coit*. Joint optimization of production scheduling and machine group preventive maintenance. Reliability Engineering and System Safety. 2016, 146: 68-78. SCI

                                                    11. Junxing Li*, Yongbo Zhang, Zhihua Wang, Huimin Fu, Lei Xiao. Reliability analysis of the products subject to competing failure processes with unbalanced data. Eksploatacja I Niezawodnosc – Maintenance and Reliability. 2016, 18(1): 98-109.  SCI

                                                    12. Xiaohui Chen, Lei Xiao*, Xinghui Zhang, Weixiao Xiao, Junxing Li. An integrated model of production scheduling and maintenance planning under imperfect preventive maintenance, Eksploatacja I Niezawodnosc – Maintenance and Reliability, 2015, 17(1): 70-79. SCI

                                                    13. Xiaohui Chen, Lei Xiao*, Xinghui Zhang. A production scheduling problem considering random failure and imperfect preventive maintenance, Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 2015, 229(1), 26-35.(SCI)

                                                    14. Xiaohui Chen, Lei Xiao*, Xinghui Zhang, Zhenxiang Liu. A heterogeneous fault diagnosis method for bearings in gearbox, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 2015, 229(8): 1491-1499. SCI

                                                    15. Xinghui Zhang, Lei Xiao*, Jianshe Kang. Degradation prediction model based on a neural network with dynamic windows. Sensors. 2015, 15(3): 6996-7015.SCI

                                                    16. Xinghui Zhang*, Lei Xiao, Jianshe Kang. Bearing fault detection based on stochastic resonance optimized by Levenberg-Marquardt algorithm, International Journal of Performability Engineering. 2015, 11(1): 61-70.  EI

                                                    17. Lei Xiao*, Xiaohui Chen, Xinghui Zhang, A joint optimizaiton of momentum item and Levenberg-Marquardt algorithm to level up the BPNN’s generalization ablility, Mathematical Problems in Engineering. 2014, 2014: 1-10. SCI

                                                    18. Xinghui Zhang*, Lei Xiao, Jianshe Kang. Application of an improved Levenberg- Marquardt back propagation neural network to gear fault level identification. Journal of Vibroengineering. 2014, 16(2): 855-868. SCI



                                                    获奖情况:

                                                    1. 上海交通大学专业技术职称:助理研究员

                                                    2. 最佳论文奖(The 2018 Prognostics and System Health Management Conference

                                                    3. 重庆市优秀博士学位论文

                                                    4. 重庆大学优秀博士学位论文

                                                    5. 重庆大学优秀毕业生





                                                    主讲课程:

                                                    1. 自选综合实验



                                                    联系方式:

                                                    地址:上海市松江区人民北路29994号学院楼3024室  201620

                                                    邮箱:leixiao211@dhu.edu.cn

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                                                    Addroom 3024  No.4 College Building, 2999 North Renmin Rd, Songjiang, Shanghai, P.R.C, 201620

                                                    E-mailleixiao211@dhu.edu.cn

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