贾民平
近期热点
资料介绍
个人简历
贾民平 教授 职称 教授 办公室 机械楼439室 学习经历1987.9-1991.11,东南大学,机械工程学院,研究生/博士1982.9-1985.2,南京工学院,动力工程系,研究生/硕士1982.10-1982.7,南京工学院,动力工程系,本科/学士1997.3-1997.12,Industry Department, University of Windsor, 加拿大,高级访问学者1990.7-1991.7,日本爱知工业大学,机械工学科,联合培养博士工作经历1991.11- 东南大学机械工程学院,讲师(1992)、副教授(1994)、教授(2000)、博士生导师(2001)1985.2-1987.8, 水电部苏州热工研究所,助理工程师教授课程机械工程测试与控制技术,本科课程(2006年国家精品课程,2013年国家级精品资源共享课)故障诊断原理与方法,本科课程机械故障诊断学,研究生课程时间序列分析与系统辨识,研究生课程智能故障诊断,博士生课程 获奖情况江苏省科技进步二等奖1项江苏省科技进步三等奖3项教育部科技进步三等奖1项国家教学成果二等奖1项江苏省教学成果一等奖1奖江苏省教学成果二等奖2奖国家精品资源共享课1门国家精品课程1门江苏省优秀研究生课程、开放课程“机械故障诊断学”各1门江苏省“333新世纪科学技术带头人培养工程”(二期)培养对象(第3层次,2003年入选)江苏省“333跨世纪学术、技术带头人”培养对象(第3层次,1999年入选)江苏省普通高度学校优秀青年骨干教师称号(1996年8月)《测试技术》获江苏省精品教材,国家十二五、十一五,十五精品课程《机械故障诊断学》教育部推荐全国研究生教材 科研项目项目名称项目类别项目时间工作类别项目金额高速旋转机械状态监测与集成诊断技术研究(2007AA04Z421)国家高技术研究发展计划8632007.10-2009.10负责人69万机电系统远程监控与故障诊断技术的研究(2001AA423240)国家高技术研究发展计划8632001.10~2003.10负责人95万基于PLM机群智能化工程机械(2003AA430010)国家高技术研究发展计划重大项目2003.1~2004.10主要参与380万机群智能化工程机械(2001AA422013)国家高技术研究发展计划重大项目2001.10~2002.10主要参与80万基于传感器优化布置与信息融合的质量监控研究(51075070)国家自然科学基金2010.01-2013.12负责人40万基于球磨机筒体振动的料位检测理论与方法研究(50775035)国家自然科学基金2008.1-2010.12负责人33万周期平稳信号分析及在故障诊断中应用的研究(50475078)国家自然科学基金2005.1-2007.12负责人30万基于小波分析的进化谱理论及应用(59875013)国家自然科学基金1999.1-2001.12负责人14万基于神经网络的非线性诊断辨识研究(59205041)国家自然科学基金1993.1-1995.12负责人6万基于传感网的机电装备智能监控诊断成套装置研发及产业化(BA2010048)江苏省科技成果转化项目2010.10-2013.10负责人100万轨道交通用高可靠性智能牵引整流变压器研发及产业化江苏省科技成果转化项目2010.10-2013.10主要参加75万基于多传感器融合的大型起重机裂纹早期诊断的理论与方法研究博士点基金项目2014.01-2016.12负责人12万机电设备状态检测与预警关键技术研究(BY2009152)江苏省产学研创新资金计划2009.10~2011.9负责人40万国家自然科学基金,参与7项 企业委托项目20余项 专利专利号专利名称专利类型201110291290.6振动监视保护装置的背板总线式结构及其通信控制方法发明专利200810243815.7一体化多通道同步振动数据采集及监视与分析诊断装置发明专利200710131415.2基于球磨机旋转筒体振动信号的料位检测方法及其检测装置发明专利200310106003.5嵌入式旋转机械智能状态监控与故障诊断装置发明专利研究领域
1. 机电设备远程监控与故障诊断 (Machine Monitoring and Fault Diagnosis)2. 振动检测、分析及控制(Vibration Measurement, Analysis and Control)3. 动态信号分析与处理(Dynamic Signal Analysis and Processing)""近期论文
1.Kang He, Qingsong Xu, Minping Jia. Modeling and Predicting Surface Roughness in Hard Turning Using a Bayesian Inference-Based HMM-SVM Model. IEEE Transactions On Automation Science And Engineering,2015(SCI)2.Zhuanzhe Zhao, Qingsong Xu, Minping Jia. Improved shuffled frog leaping algorithm-based BP neural network and its application in bearing early fault diagnosis. Neural Comput & Applic, publish online, 05 March 2015, DOI 10.1007/s00521-015-1850-y(SCI)3.Qingsong Xu, Minping Jia. Model reference adaptive control with perturbation estimation for a micropositioning system. IEEE TRANSACTIONS ON Control Systems Technology. 22(1):352-359, 2014 (SCI)(EI: 20140217177991)4.Jia, Yukun, Jia, Minping, Xu, Qingsong. A dual-axis electrostatically driven MEMS microgripper. International Journal of Advanced Robotic Systems, v 11, November 24, 2014 (SCI)(EI: 20144900299869)5.Jiang, Yu, Xu, Feiyun. Xu, Bingsheng, Jia, Minping, Hu, Jianzhong,Gallego, Antolino. Simulation and experimental investigation on the AE tomography to improve AE source location in the concrete structure. Mathematical Problems in Engineering, v 2014, 20146.Ziqiang Chi, Minping Jia, Qingsong Xu. Fuzzy PID Feedback Control of Piezoelectric Actuator with Feedforward Compensation. Mathematical Problems in Engineering, v 2014, 2014 (EI: 20144900274847)7.Xu, Qingsong, Wong, Pak-Kin, Jia, Minping, Zhang, Chengjin, Yen, Ping-Lang. Engineering applications of intelligent monitoring and control 2014. Mathematical Problems in Engineering, January 15, 2015,(SCI) (EI: 20150600493828)8.何康,贾民平,赵转哲. Sensor deployment based on attribute hierarchical model considering heterogeneity to diagnose single station manufacturing system. 机械工程学报, 50(24):17-23, December 20, 2014 (EI: 20150500481994)9.Wang, Haijun, Xu, Feiyun, Zhao, Jun'ai, Jia, Minping, Hu, Jianzhong, Huang, Peng. Bispectrum feature extraction of gearbox faults based on nonnegative Tucker3 decomposition with 3D calculations. Chinese Journal of Mechanical Engineering (English Edition), 26(6):1182-1193, 2013 (SCI)(EI: 20135217144131)10.Zhuanzhe Zhao, Minping Jia, Kang He. Approach of Combination of Weighted Evidence Based on Evidential Closeness Degree and Its Application. Advanced Materials Research, 2013,630:377-382 (EI: 20130615997084)11.Kang He, Minping Jia, Zhuanzhe Zhao. Quality Monitoring of Surface Roughness and Roundness Using Hidden Markov Model. Advanced Materials Research, 2013,630:308-341 (EI:20130615997070)12.Kang He, Minping Jia, Zhuanzhe Zhao, Rong Wang. Sensor Optimization for Cutting Status Monitoring in Single Manufacturing Unit. Advanced Materials Research, 2012(569) :636-639 (EI:20124715701649)13.Xiaolan Yang, Minping Jia, Jingchao Zou,et al. Frequency Conversion Control for Vibration Mill with High Vibration Intensity Based on Multi-Wave Variable Sinusoid, Advanced Materials Research, 2012 (538-541):2504-2507 (EI: 20130816038284)14.Peng Huang, Minping Jia, Binglin Zhong. New Method to Measure the Fill Level of the Ball Mill I-Theoretical Analysis and DEM Simulation[J], Chinese Journal of Mechanical Engineering, 23(4), pp 460-467, 2010.(EI,SCI收录)15.Heng Wang, Minping Jia, Peng Huang. A study on a new algorithm to optimize ball mill system based on modeling and GA[J],Energy Conversion and Management, 51(4), pp 846-850, 2010.(EI,SCI收录)16.Huang Peng, Jia Minping, Zhong Binglin. Investigation on measuring the fill level of an industrial ball mill based on the vibration characteristic of the mill shell [J]. Minerals Engineering 2009, 22(14): 1200-1208. (SCI)(EI: 20093712301995)17.Jiang Quansheng, Jia Minping, Hu Jianzhong, Xu Feiyun. Machinery fault diagnosis using supervised manifold learning [J]. Mechanical Systems and Signal Processing, 2009, 23(7): 2301-2311. (SCI: 000267913800016; EI: 20093012214514)18.Jiang Quansheng, Jia Minping, Hu Jianzhong, Xu Feiyun. Modified laplacian eigenmap method for fault diagnosis [J]. Chinese Journal of Mechanical Engineering, 2008, 21(3):90-93. (SCI: 000263228100017; EI: 20083011401832)19.Mathematical Problems in Engineering: Engineering Applications of Intelligent Monitoring and Control 2014, 专刊副主编 相关热点
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