刘贵杰
　　姓名：刘贵杰
职称/职务：教授/系主任
专业：机械工程
所在系（所、中心）：工程学院机电工程系
通讯地址：青岛松岭路238号 中国海洋大学工程学院
电子信箱：liuguijie@ouc.edu.cn
办公室电话：**
传真：**

主要学历：
2000.09-2003.07，东北大学机械制造及其自动化专业，获工学博士
1990.09-1993.06，合肥工业大学机械学专业，获工学硕士
1986.09-1990.07，山东轻工业学院机械设计制造及其自动化专业，获工学学士

学术经历：
1993.06-2004.02，山东轻工业学院助教/讲师/副教授（2000年）
2004.03-今，中国海洋大学工程学院副教授/教授（2005年）
2005.4-2007.7，中国海洋大学水利工程博士后工作站从事海洋工程装备技术研究

研究方向：
1. 水下机器人技术
2. 机械结构及海洋工程装备损伤的在线监测与诊断技术
3. 机电系统设计与虚拟原型技术

讲授课程：
1.本科生课程：工程测试技术、机械工程概论
2.研究生课程：机械故障诊断、机电系统计算机控制技术、工程测试与信号处理

学术兼职：
中国机械工程学会磨粒技术委员会委员
中国热处理学会高能密度热处理技术委员会委员
中国机械工程学会高级会员
青岛市机械电子工程学会副秘书长
青岛市青年蓝色经济区建设研究会会员
青岛市“水下溢油检测机器人”企业专家工作站首席专家
国际杂志International Journal of Machine Tools and Manufacture、 International journal of abrasive technology审稿人。

学术成就、奖励及荣誉：
2003年 山东省高校优秀科研成果奖自然科学类三等奖1项，第一完成人
2008年 山东省高校优秀科研成果奖自然科学类二等奖1项，第一完成人

科研项目及角色：
1.“海洋环境下结构焊接点多轴疲劳损伤演化机理及演化律”国家自然科学基金项目，项目编号：**，2012-2015，项目负责人
2.“基于声纳和水下视觉的深海复杂环境下AUV组合导航系统关键技术”，国家863项目目标导向类课题（2009AA12Z330），2009-2010，课题组副组长
3.“深海热液保真采样系统研制”,国家863课题（2003AA**）, 2004-2005,副组长
4.“基于同时定位与地图构建方法的AUV自主导”,国家863项目（2006AA09Z231），2006-2009，负责机器人本体设计
5.“基于声发射信号的海洋平台结构安全状况在线监测理论及应用研究”，山东省自然基金，（ZR2009FM011），2009-2012，项目负责人
6.“海底沉积物原位保真采样系统研制”，山东省科技攻关项目（2006GG** ），2006-2009,项目负责人
7.“深海海水等静压直接驱动技术研究及型样机研制”，山东省优秀中青年科学家奖励基金（2007BS07005），2007-2009，项目负责人
8.“青岛市蓝色经济区建设第二产业发展规划研究”，青岛市发展改革委员会重点项目，（ LSBKT-2009-8），2009.1-2009.12，项目负责人
9.“变频液压站技术研究及样机研制”，青岛市基础研究项目，（07-2-3-15-jch）, 2007-2009，项目负责人
10.“AUV控制相关技术研究”，上海交通大学海洋工程国家重点实验室研究基金项目（0701），2007-2009，项目负责人
11.“小型AUV模块化结构设计方法研究”，上海交通大学海洋工程国家重点实验室研究基金项目（1004），2010-2012，项目负责人
12.“青岛市海洋产业科技创新支撑体系研究”青岛市软科学项目,2012-2013，项目负责人

代表性论著：
[1] G.J. Liu, Y.D. Gong, W.S. Wang. Study on On-line Monitoring Method for Grinding Quality [J]. Key Engineering Material, 2004, Vol.256-260:287-292（SCI，EI收录）
[2] G.J. Liu, Y. D. Gong, W. S. Intelligent Monitor and Control System for Grinding Process [J]. Key Engineering Materials, 2006, Vol.304-305: 535-539（SCI，EI收录）
[3] G.J. Liu, M. Ning, J.Z. Tan. Research on Web Based Remote Monitor and Control System for Grinding Process [J]. Materials Science Forum, 2006, Vol.532-533:1112-1118（EI收录）
[4] G.J. Liu, M. Ning, Y.D. Gong, W.S. Wang. Study on the self-adaptive forecast and optimal control method for grinding wheel in-feed [J]. Key Engineering Material, 2007, Vol.304: 535-539（EI收录）
[5] Y.D. Gong, G.J. Liu, W.S. Wang. Research on Grinding Wheel Intelligent Dressing System [J]. Key Engineering Material.2001,Vol.202–203:181～184
[6] G.J. Liu, T. Tang, L.J. Liu. Study on the web based remote monitoring and controlling system for heat exchanger [J]. Proceedings of ISCIT2005, 2005: 1254～1257 （EI, ISTP收录）
[7] G.J. Liu, Q.wang, X.L. Shi. Study on self-configuration method of network, Key Engineering Materials, 2008, Vol.359: 199-203（EI收录）
[8] X.L. Shi, G.J. Liu, Q.wang, Study on a grinding quality assessing method based on fuzzy decision combined with analytic hierarchy process(AHP), Key Engineering Materials, 2008, Vol.359: 543-547（EI收录）
[9] Liu, Guijie; Wang, Qiang; Kang, Renke. Study on the wavelet transform based monitor signal processing method for grinding wheel dull， Source: Key Engineering Materials, v 375-376, 2008, p 598-60（EI收录）
[10] G.J. Liu, Q. Wang, R.K. Kang, Study on the wavelet transform based monitor signal processing method for grinding wheel dull. Key Engineering Materials, 2008, Vol.375-376: 598-602（EI收录）
[11]刘贵杰, 王猛, 何波. 基于Adams与MATLAB/Simulink的水下自航行器协同仿真研究[J]. 机械工程学报, 2009, Vol. 45(10):22-29（EI收录）
[12] 袁伟杰, 刘贵杰, 朱绍锋。基于遗传算法的AUV水动力参数辨识方法[J]. 机械工程学报, 2010, Vol. 46(11):96-100（EI收录）
[13] 吴乃龙, 刘贵杰, 李思乐, 徐萌. 基于人工免疫反馈的自治水下机器人推力器控制[J]. 机械工程学报, 2011, Vol. 47(21):22-27（EI收录）
[14]刘贵杰,巩亚东,宛山.基于摩擦声发射的磨削表面粗糙度在线检测方法研究，摩擦学学报，2003， Vol.23 (3)：236（EI收录）
[15]刘贵杰,巩亚东,宛山. 磨削加工参数智能化在线调整方法研究，中国机械工程，2003，(15)：1268（EI收录）
[16]刘贵杰, 刘立静，唐婷，巩亚东，王宛山.磨削过程计算机集成智能监控系统，中国机械工程， 2005， (20)：1843（EI收录）
[17]刘贵杰,巩亚东,宛山.基于神经网络的磨削砂轮状态在线监测,东北大学学报，2002, Vol.23 (10)：984（EI收录）
[18]刘贵杰，巩亚东，王宛山.基于交流异步电机驱动的磨床进给位移自学习控制，东北大学学报， 2001， Vol.22 (3)：268（EI收录）
[19]刘贵杰，王强，梅宁.海底石油管道检测数据采集系统研究，仪器仪表学报，2006，Vol.27 (nS)：421（EI收录）
[20]王强.刘贵杰.王宛山 基于小波包能量系数法的砂轮状态监测. 中国机械工程, 2009(3): 285-287 （EI收录）





Name: Guijie Liu
Title/position: Professor/department head
Major: Mechanical engineering
Department: Department of Mechanical and Electrical Engineering, Engineering College
Address: Engineering College, Ocean University of China, 238 Songling Road, Qingdao，Qingdao, P. R. China, 266100
Office Phone: 86-532-1131
E-mail: liuguijie@ouc.edu.cn
Education
2000.9-2003.7, Northeastern University, Ph.D. in mechanical engineering and automation
1990.9-1993.6, Hefei University of Technology, M.s. in mechanical design and theory
1986.9-1990.7, Shandong Polytechnic University, B.s. in mechanical engineering
Work experience
2004.3-present，The associate professor/professor(2005) of Ocean University of China
2005.4-2007.7，Post doctor wprk in water conservancy project post-doctoral research station of Ocean University of China
1993.6-2004.2，The teaching assistant/lecturer/associate professor of Shandong Polytechnic University
Research
1. Autonomous underwater vehical technology
2.On-line monitoring and diagnosis technology of the mechanical equipment and Ocean engineering structur damage
3. Electromechanical systems design & virtual prototyping technology
Teaching
Undergraduate courses: Mechanical-Engineering Testing Technology, Mechanical Engineering Introduction
Postgraduate courses: Mechanical Fault Diagnosis; Computer control technology of mechanical and electrical system; Engineering Testing and Signal Processing
Social work
1. Committee member of Abrasive Technology Committee of Chinese Mechanical Engineering Society
2. Committee member High Energy Density Heat Treatment Technology Committee of China Heat Treatment Association
3. Important member of the Chinese Mechanical Engineering Society
4. Deputy secretary-general of Qingdao Mechanical Engineering Society
5. Member of Youth seminar of Qingdao blue economic zone construction
6. Chief expert of Qingdao underwater oil spill detection robot experts workstations
7. Reviewer of International Journal of Machine Tools and Manufacture, International journal of abrasive technology
Awards
Third Award of Natural Science Outstanding Achievements Prize, Shandong Province, 2003
Second Award of Natural Science Outstanding Achievements Prize, Shandong Province, 2008
Scientific research project and the role
1. Evolution mechanism and evolution law of fatigue damage at structural welding points in the
marine environment, National Natural Science Foundation, Project number:**
2012-2015, Project Leader
2. Key technology of AUV integrated navigation system in the complex deep-sea environment
based on sonar and underwater vision, The Goal-oriented Issue of National 863 Projects
(2009AA12Z330), 2009-2010, Deputy head of project group
3. Development of deep-sea hydrothermal fidelity sampling system, National 863 Project
(2003AA**), 2004-2005, Deputy head of project group
4. AUV autonomous navigation technology based on simultaneous localization and the mapping
method, National 863 Project(2006AA09Z231), 2006-2009, Responsible for theAUV body
design
5. Study on the theory and applications of on-line monitoring method of offshore platform structure based on acoustic-emission signals, Natural Science Foundation of Shandong
Province (ZR2009FM011), 2009-2012, Project leader
6. Development of the marine sediments situ fidelity sampling system, Shandong Scientific
Research Project(2006GG**), 2006-2009, Project leader
7. Research on oceanic isocratic direct-drive technology and the prototype development,
Shandong Province Outstanding Young Scientists Award Fund(2007BS07005),
2007-2009, Project Leader
8. Study on the secondary industry development planning for Qingdao Blue Economic Zone
Construction, Key Projects of Qingdao Development and Reform Commission
(LSBKT-2009-8), 2009.1-2009.12, Project Leader
9. Technology research on variable frequency hydraulic station and the prototype development,
Basic Research Projects Of Qingdao(07-2-3-15-jch), 2007-2009, Project Leader
10. AUV control-related technology research, National Key Laboratory Research Fund of Ocean
Engineering of Shanghai Jiao Tong University(0701), 2007-2009, Project Leader
11. Study on the methods of the small AUV modular structural design, National Key Laboratory
Research Fund of Ocean Engineering of Shanghai Jiao Tong University (1004), 2010-2012,
Project Leader
12. Research on the science and technology innovation supporting system of the Qingdao marine
industry, Qingdao Soft-science Project, 2012-2013, Project Leader
Representative works
[1] G.J.Liu , Y.D. Gong, W.S. Wang. Study on On-line Monitoring Method for Grinding Quality [J]. Key Engineering Material, 2004, Vol.256-260:287-292(SCI, EI included)
[2] G.J. Liu, Y. D. Gong, W. S. Intelligent Monitor and Control System for Grinding Process [J]. Key Engineering Materials, 2006, Vol.304-305: 535-539(SCI,EI included)
[3] G.J. Liu, M. Ning, J.Z. Tan. Research on Web Based Remote Monitor and Control System for Grinding Process [J]. Materials Science Forum, 2006, Vol.532-533:1112-1118(EI included)
[4] G.J. Liu, M. Ning, Y.D. Gong, W.S. Wang. Study on the self-adaptive forecast and optimal control method for grinding wheel in-feed [J]. Key Engineering Material, 2007, Vol.304: 535-539(EI included)
[5] Y.D. Gong, G.J. Liu, W.S. Wang. Research on Grinding Wheel Intelligent Dressing System [J]. Key Engineering Material.2001,Vol.202-203:181~184
[6] G.J. Liu, T. Tang, L.J. Liu. Study on the web based remote monitoring and controlling system for heat exchanger [J]. Proceedings of ISCIT2005, 2005: 1254~1257 (EI, ISTP included)
[7] G.J. Liu, Q.wang, X.L. Shi. Study on self-configuration method of network, Key Engineering Materials, 2008, Vol.359: 199-203(EI included)
[8] X.L. Shi, G.J. Liu, Q.wang, Study on a grinding quality assessing method based on fuzzy decision combined with analytic hierarchy process(AHP), Key Engineering Materials, 2008, Vol.359: 543-547(EI included)
[9] Liu, Guijie; Wang, Qiang; Kang, Renke. Study on the wavelet transform based monitor signal processing method for grinding wheel dull, Source: Key Engineering Materials, v 375-376, 2008, p 598-60(EI included)
[10] G.J. Liu, Q. Wang, R.K. Kang, Study on the wavelet transform based monitor signal processing method for grinding wheel dull. Key Engineering Materials, 2008, Vol.375-376: 598-602(EI included)
[11] G.J. Liu, M. Wang, B. He. Study on the cooperative simulation based on Adams and Mat-lab/Simulink for Autonomous Underwater Vehicle [J], Chinese Journal of Mechanical Engineering, 2009, Vol. 45(10):22-29(EI included)
[12] W.J. Yuan, G.J. Liu, S.F. Zhu. Study on the identification method of hydrodynamic parameters of Autonomous Underwater Vehicle based on genetic algorithm [J], Chinese Journal of Mechanical Engineering, 2010, Vol. 46(11):96-100(EI included)
[13] N.L. Wu, G.J. Liu, S.L. Li, M. Xu . Study on the thruster control of Autonomous Underwater Vehicle based on artificial immune feedback [J], Chinese Journal of Mechanical Engineering, 2011, Vol. 47(21):22-27(EI included)
[14] G.J. Liu, Y.D. Gong, W.S. Wang. Study on the on-line measuring of ground surface roughness based on friction-induced acoustic emission, Tribology, 2003, Vol.23 (3):236(EI included)
[15]G.J. Liu, Y.D. Gong, W.S. Wang. Study on the intelligent on-line adjusting method for grinding conditions, Chinese Journal of Mechanical Engineering, 2003,(15):1268(EI included)
[16] G.J. Liu, L.J, Liu, T. Tang Y.D. Gong, W.S. Wang. Study on the computer integrated intelligent monitoring and controlling system for grinding processing, Chinese Journal of Mechanical Engineering, 2005, (20):1843(EI included)
[17]G.J. Liu, Y.D. Gong, W.S. Wang. Study on the on-line conditioning monitoring for grinding wheel states based on neural network, Journal of Northeastern University, 2002, Vol.23 (10):984 (EI included)
[18]G.J. Liu, Y.D. Gong, W.S. Wang. Study on the self-studying control of feeding displacement of grinding machine based on AC-asynchronous motor driving, Journal of Northeastern University (Natural Science), 2001, Vol.22 (3):268(EI included)
[19] G.J. Liu, Q. Wang, N. Mei. Study on the detecting data acquisition system for sea bed oil & gas pipe-line, Chinese Journal of Scientific Instrument, 2006, Vol.27 (nS):421(EI included)
[20]Q. Wang, G.J. Liu, W.S. Wang. Study on the condition monitoring method for grinding wheel based on capacity coefficient of the wavelet packets, Chinese Journal of Mechanical Engineering, 2009(3):285-287 (EI included)





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