侯东明




简介

侯东明,工学博士,机械设计与数字化技术系,副研究员,硕士生导师,隶属于高端装备结构技术创新团队,智能渣浆泵河北省工程研究中心副主任,海检研究院特聘专家,曾就职于Physical Acoustics Corporation(PAC, MISTRAS Group, Inc.,美国物理声学公司)声发射事业部担任骨干工程师。近几年主持或作为技术负责人完成科技研发项目总经费超1000万元,主持/参与完成了轨道交通、石油化工、风力发电、能源储输、港口装备等行业内多项重大在线监测项目,具有丰富的项目研发经验。发表高水平期刊论文20余篇,授权专利3项。


工作经历

2023.06—至今             机械工程学院       副研究员

2018.09—2023.03   北京交通大学     机械工程              工学博士

2017.03—2020.12   Physical Acoustics Corporation   Engineer


研究方向

故障预测与健康管理(PHM),面向轨道交通、海洋装备、石油化工领域

结构健康监测(SHM),面向航空航天、能源储输领域

监测系统设计开发研制,主要涉及传感器和采集系统研发、算法开发等


主要项目

[1] 中国中车科研计划重大专项系列项目,轨道交通装备故障预测与健康管理(PHM)技术研究与应用,轨道车辆关键部件损伤监测技术研究(SHM),结题, 637万,项目/技术负责人

[2] 中国中车科技研发重点项目,铁路货车关键部件图像故障检测系统研发,在研,165万,合作单位负责

[3] 中央引导地方科技发展资金项目-京津冀重点产业链成果转化项目,场站氢气泄漏及管道结构状态智能监测,在研,635万,骨干参与

[4] 冀中能源机械装备集团科技研发项目,渣浆泵状态监测系统,在研,82万,项目负责人

[5] 石油化工、风力发电、港口机械等重大装备关键部件健康状态监测研发项目,结题,300余万元,项目/技术负责人


主要科研成果

[1] Dongming Hou, Hongyuan Qi, Defa Li, Cuiping Wang, et.al. High-speed train wheel set bearing fault diagnosis and prognostics: Research on acoustic emission detection mechanism[J]. Mechanical Systems and Signal Processing, 2022.179: 109325.

[2] Dongming Hou, Hongyuan Qi, Cuiping Wang, Defu Han. High-speed train wheel set bearing fault diagnosis and prognostics: Fingerprint feature recognition method based on acoustic emission [J]. Mechanical Systems and Signal Processing, 2022. 171: 108947.

[3] Dongming Hou, Hongyuan Qi, Cuiping Wang, Chang Peng, et al. High-speed train wheel set bearing fault diagnosis and prognostics: Evaluation of signal processing methods under multi-source interference [J]. Structural Health Monitoring. 2022: 14759217221122308.

[4] Dongming Hou, Hongyuan Qi, Honglin Luo, Cuiping Wang, Jiangtian Yang. Comparative study on the use of acoustic emission and vibration analyses for the bearing fault diagnosis of high-speed trains [J]. Structural Health Monitoring, 2022, 21(4): 1518-1540.

[5] Dongming Hou, Meng Xu, Guanji Xu, Lin Shen, et.al. Early fault signal processing for an EMU rolling bearing based on acoustic emission[J]. International Journal of COMADEM, 2019, 22(3).

[6] Dongming Hou, Guanji Xu, Lin Shen, Jinqiang Lin, et al. Velocity field detection method using the elastic wave of a damaged bolster[J]. International Journal of COMADEM, 2019, 22(3).

[7] Guanji Xu, Dongming Hou, Hongyuan Qi, Lin Bo. High-speed train wheel set bearing fault diagnosis and prognostics: A new prognostic model based on extendable useful life [J]. Mechanical Systems and Signal Processing, 2021, 146: 107050.

[8] Hongyuan Qi, Defu Han, Dongming Hou, Cuiping Wang. A novel acoustic emission sensor design and modeling method for monitoring the status of high-speed train bearings [J]. Structural Health Monitoring, 2023: 14759217221139646.

[9] Cuiping Wang, Hongyuan Qi, Dongming Hou, Defu Han, et al. Fingerprint feature and dynamic threshold mechanism based on acoustic emission for bearing fault detection [J]. Mechanical Systems and Signal Processing, 2023, 199: 110496.

[10] Honglin Luo, Lin Bo, Chang Peng, Dongming Hou. Detection and quantification of oil whirl instability in a rotor-journal bearing system using a novel dynamic recurrence index [J]. Nonlinear Dynamics, 2023, 111(3):2229-2261.

[11] Cuiping Wang, Hongyuan Qi, Dongming Hou, Defu Han. Ensefgram: An optimal demodulation band selection method for the early fault diagnosis of high-speed train bearings. [J]. Mechanical System and Signal Processing, 2024, 213: 111346.

[12] Defu Han, Hongyuan Qi, Shuangxin Wang, Dongming Hou, Jinzhen Kong, et al. Adaptive maximum generalized Gaussian cyclostationarity blind deconvolution for the early fault diagnosis of high-speed train bearings under non-Gaussian noise[J]. Advanced Engineering Informatics, 2024, 62: 102731.

[13] Defu Han, Hongyuan Qi, Shuangxin Wang, Dongming Hou, Cuiping Wang. Adaptive stepsize forward–backward pursuit and acoustic emission-based health state assessment of high-speed train bearings [J]. Structural Health Monitoring,2024,1271036

[14] 李德发,齐红元,侯东明,孔凡爽,洪淼,韩得福. 动车组轴箱轴承状态的声发射检测机理研究 [J]. 机械工程学报, 2021, 57 (12): 153-160.



学术兼职

Mechanical Systems and Signal Processing、Structural Health Monitoring等国际Top期刊审稿人


招生方向

每年招收机械、测控、电子信息等背景研究生2-3名,团队提供良好的学习软硬件条件、科研津贴/奖励等,欢迎有理想抱负和责任心、热爱科研、有奋斗精神的同学加入!


联系方式

dmhou@www.ndytng.com

Baidu
map
Baidu
map