姓名：穆为磊
职称/职务：讲师/机械教研室主任
专业：机电工程系
所在单位（系、所、中心等）：机电工程系海洋机电装备与技术实验室
通讯地址：青岛松岭路238号 中国海洋大学工程学院X82信箱
电子信箱：muweilei@ouc.edu.cn

学习经历：
2014/05-2017/04, 中国海洋大学, 水利工程, 博士后
2008/09-2014/06, 西安交通大学, 机械工程,博士
2004/09-2008/06, 西安交通大学, 机械制造及其自动化, 学士（2+4+X培养模式）
工作经历：
2014/07-至今，中国海洋大学工程学院机电工程系；
2014/05-2017/04，中国海洋大学水利工程博士后；
2010/10-2012/12，苏州科力迪软件技术有限公司，技术总监
研究方向/岗位职责：
1.海洋结构状态监测与无损检测
2.海洋机电装备设计
讲授课程：
本科生课程：机电控制技术、机电产品设计综合训练、水下机器人
研究生课程：机电一体化技术
科研项目：
1.国家自然科学基金青年项目，多轴载荷环境下海洋平台结构件疲劳裂纹在线监测方法和演化规律研究,2016/01-2018/12, 主持;
2.山东省自然科学基金项目，海洋平台结构件疲劳裂纹声发射信号处理方法研究,2015/07-2017/07,主持;
3.中央高校基本科研项目，海洋平台射线检测图像中缺陷快速定位与识别技术研究, 2015/01-2016/12,主持;
4.青岛市博士后人员应用研究项目：AUV在水下半潜溢油检测中应用技术研究, 2015/09-2016/09,主持;
5.山东省自然科学基金目标导向应用基础研究（“问海计划”）,4000米深海自持式智能Argo浮标,2016/08-2018/12, 参与；
学术兼职：
IEEE会员；
中国机械工程学会无损检测分会会员；
国家自然科学基金通讯评审人；
《Insight》、《Nondestructive Testing and Evaluation》等国际期刊审稿人。
代表性论著：
发表科研论文近二十篇，SCI/EI收录十篇，近三年代表性论著如下：
[1]Weilei Mu, Wensheng Qu, Guijie Liu*, Zhenxing Zou, Peng Liu . Acoustic Emission Beamforming Localization Approach Based on Particle Swarm Optimization[J]. Insight, 2017(SCI期刊，已录用)
[2]穆为磊, 曲文声, 刘贵杰*, 邹振兴, 刘鹏. 搜索策略改进的波束形成定位方法研究[J]. 应用声学, 2017.（已录用）
[3]曲文声, 王寿军, 穆为磊*, 刘贵杰, 宋洪辉. 基于声发射技术的海洋平台材料疲劳损伤研究[J]. 无损检测, 2016,38(10): 10-13.
[4]刘贵杰, 刘鹏, 穆为磊*, 王寿军. 能耗最优改进蚁群算法的AUV路径优化研究[J].西安交通大学学报, 2016,50(10)93-98(EI)
[5]Weilei Mu, Guijie Liu*, Xinbao Wang, Peng Liu and Anyi Wang. Research on Stochastic Resonance Enhancement of Ray Image based on Genetic Algorithm[J]. Insight, 2016,58(5):246-250 (SCI)
[6]Weilei Mu, Guijie Liu*, Peng Liu, Xinbao Wang and Anyi Wang. Radiographic Image Processing Based on Haze Removal[J]. Insight, 2015, 57(10): 567-570. (SCI)
[7]Mu WL, Gao JM, Jiang HQ*, Chen FM, Wang Z and Dang CY. A radiographic image quality assessment algorithm based on network topology analysis[J]. Insight, 2014,56(1):10-14 (SCI)
[8]Mu WL, Gao JM, Jiang HQ*, Wang Z, Chen FM and Dang CY. Automatic classification approach of weld defects based on PCA and SVM[J]. Insight, 2013, 55(10):535-539 (SCI)
[9]Weilei Mu, Guijie Liu*, Peng Liu and Xiaojie Tian. A novel classification approach of weld defects based on dual-parameters optimization of PCA and LDA[C]. International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII). Zhengzhou, China, 2015:1425-1429.
WeileiMu
Title: Lecturer
Department:Mechanicaland Electrical Engineering
Address:Engineering College, Ocean University of China,
238 Songling Road, Qingdao, P. R. China, 266100
Office Phone: 86-**
E-mail: muweilei@ouc.edu.cn
Education
Ph.D. Mechanical Engineering, Xi＇an Jiaotong University, Xi’an, China(2014).
B.S. Mechanical Manufacturing and Automation, Xi＇an Jiaotong University, Xi’an, China(2008)
Work Experience
1. 2014.7-Now Work in, Engineering College, Ocean University of China.
2. 2010.10-2012.12 Suzhou Quality Software Technology Co. Ltd.
Research Interests / responsibilities
Oceanelectromechanical equipment design;
Non-destructive testing of offshore platform;
Courses
The UndergraduateCourses: Mechatronics Control Technology, Mechatronics Product Design Training, Underwater Robot.
The Graduate Course: Mechatronics Technology.
Research Projects
National Natural Science Foundation of China: The online monitoring method and evolution rule research of fatigue crack in offshore platform under multi axial loading environment（**）,2016.1-2018.12；
Natural Science Foundation of Shandong Province:Research on fatigue crack AE signal in offshore platform （BS2015DX004）,2015.7-2017.7；
Fundamental Research Funds for the Central Universities:Research on defect rapid location and recognition in radiographic image of offshore platform （）, 2015.1-2016.12；
Post-doctorate Application Research Project of Qingdao: Study on the application of AUV in underwater oil spill detection，2015.9-2016.9
Major Publication
1.Mu WL, Gao JM, Jiang HQ, et al. Automatic classification approach of weld defects based on PCA and SVM[J]. Insight, 2013,55(10):535-539.(SCI)
2. Mu WL, Gao JM, Jiang HQ, et al. A radiographic image quality assessment algorithm based on network topology analysis[J]. Insight, 2014,56(1):10-14.(SCI)
3. Weilei Mu, Guijie Liu, Peng Liu, Xinbao Wang and Anyi Wang. Radiographic Image Processing Based on Haze Removal[J]. Insight, 2015, 57(10): 567-570. (SCI)
4. Weilei Mu, Guijie Liu, Xinbao Wang, Peng Liu and Anyi Wang. Research on Stochastic Resonance Enhancement of Ray Image based on Genetic Algorithm[J]. Insight,2016,58(6)(SCI)
5. MU Weilei,GAO Jianmin, CHEN Fumin and JIANG Hongquan. Weld Radiographic Image Enhancement Conforming to Human Visual System[J]. Journal of Xi’an Jiaotong University,2012,46(3):90-93.(EI)
6. MU Weilei,GAO Jianmin, WANG Zhao and JIANG Hongquan. Radiographic Image Assessment Approach Based on Human Visual System[J]. Journal of Xi’an Jiaotong University,2013,47(7):91-95.(EI)
7. Mu WL, Gao JM, Jiang HQ, et al. A method of radiographic image quality enhancement[C]. ICMTMA2013, Hong Kong, China: IEEE Computer Society, 2013: 29-32.(WOS:008, EI: 20**5)
8. Jiang HQ, Gao JM, Mu WL, et al. Research on diagnosis of abnormal causes in quality of weld based on the Bayesian net model[C]. ICQR2MSE, Xi'an, China: IEEE Computer Society, 2011: 505-508. (EI)