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:51175485
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
(2003AA6120401), 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(2006GG2206013), 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)