侯东明
时间：2024-02-27 来源： 作者： 访问量：
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 河北工业大学 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，合作单位负责人
[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！
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