1.State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and theMinistry of Science and Technology Shandong University of Science and Technology Qingdao 266590 China 2.College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao 266590 China
Abstract:In order to improve the stability of three-phase asynchronous motors,the fuzzy fault Petri net theory is used for motors’ state evaluation and fault diagnosis.According to the logic of motor failure,combined with the Petri net modeling method,the fuzzy fault Petri net model of motors is established.The enable transition firing matrix is proposed,combined with the MYCIN confidence matrix method,an accurate assessment of the state of the running motor is achieved.The reverse inference algorithm is the troubleshooting process,and a more concise full matrix reasoning algorithm is then proposed,which improves the diagnosis speed greatly.Using the minimum cut set theory for the priority diagnosis can avoid the blindness of diagnosis.Finally,the part fault model of the motor is used to deduce and analyze.With the help of the fault tree theory,the data of statistics,and method comparison,the validity and rationality of the model are verified.
程学珍,王 程,于永进,伊利峰,陈 强. 一种基于模糊故障Petri网的三相异步电动机故障分析方法[J]. 电工技术学报, 2015, 30(17): 132-139.
Cheng Xuezhen,Wang Cheng,Yu Yongjin,Yi Lifeng,Chen Qiang. An Approach for Three-Phase Asynchronous Motor Failure Analysis Based on Fuzzy Fault Petri Net. Transactions of China Electrotechnical Society, 2015, 30(17): 132-139.
[1] 赵妍,李志民,李天云.一种基于谱峭度的异步电机故障诊断方法[J].电工技术学报,2014,29(5):189-196. Zhao Yan,Li Zhimin,Li Tianyun.A method for fault diagnosis of induction motors based on spectral kurtosis[J].Transactions of China Electrotechnical Society,2014,29(5):189-196. [2] 曾庆峰,何正友,杨健维.基于有色Petri网的电力系统故障诊断模型研究[J].电力系统保护与控制,2010,38(14):5-11,127. Zeng Qingfeng,He Zhengyou,Yang Jianwei.Fault diagnosis model of electric power systems based on colored Petri net[J].Power System Protection and Control,2010,38(14):5-11,127. [3] Adamyan A,He D.System failure analysis through counters of Petri net models[J].Quality and Reliability Engineering International,2004,20(4):317-335. [4] Loony C G.Fuzzy Petri net for rule-based decision making[J].IEEE Transactions on Systems,Man and Cybernetics,1988,18(1):178-183. [5] 李厦,乌建中.模糊Petri网在液压同步提升系统故障诊断中的应用[J].中国工程机械学报,2006,4(1):68-71. Li Sha,Wu Jianzhong.Application of fuzzy Petri nets in hydraulic synchronizing system fault diagnosis[J].Chinese Journal of Construction Machinery,2006,4(1):68-71. [6] 盛晟,肖明清,赵亮亮,等.故障Petri网的激发矩阵方法研究[J].仪器仪表学报,2013,34(1):187-192. Sheng Sheng,Xiao Mingqing,Zhao Liangliang,et al.Research on fire matrix method for fault Petri net[J].Chinese Journal of Scientific Instrument,2013,34(1):187-192. [7] 黄敏,林啸,侯志文.模糊故障Petri网建模方法及其应用[J].中南大学学报(自然科学版),2013,44(1):208-215. Huang Min,Lin Xiao,Hou Zhiwen.Modeling method of fuzzy fault Petri nets and its application[J].Journal of Central South University (Science and Technology),2013,44(1):208-215. [8] Motameni H,Ghassempouri T.Transforming fuzzy communication diagram to fuzzy Petri net[J].American Journal of Scientific Research,2011,16:63-74. [9] 梁光夏.基于改进模糊故障Petri网的复杂机电系统故障状态评价与诊断技术研究[D].南京:南京理工大学,2014. [10]马敏,黄建国,夏侯士戟.基于自适应模糊Petri网的雷达故障诊断方法研究[J].仪器仪表学报,2008,29(2):261-265. Ma Min,Huang Jianguo,Xiahou Shiji.Rader fault diagnosis with the adaptive fuzzy Petrinet[J].Chinese Journal of Scientific Instrument,2008,29(2):261-265. [11]杨健维.基于模糊Petri网的电网故障诊断方法研究[D].成都:西南交通大学.2011. [12]原菊梅.复杂系统可靠性Petri网建模及其智能分析方法[M].北京:国防工业出版社,2011. [13]李厦.基于Petri网的故障诊断技术研究及其在液压系统中的应用[D].上海:同济大学,2006. [14]付阶辉.基于Petri网的故障诊断方法研究[D].南京:东南大学,2004. [15]刘曼兰,于海芳,崔淑梅.一种永磁直流电机故障诊断方法[J].电工技术学报,2007,22(10):42-48. Liu Manlan,Yu Haifang,Cui Shumei.An universal approach to diagnose the failures of permanent-magnetic DC motors[J].Transactions of China Electrotechnical Society,2007,22(10):42-48. [16]谢倩,乐晓波,周恺卿,等.模糊Petri网库所集中token初始值的确定方法[J].计算机工程与应用,2012,48(12):49-52. Xie Qian,Yue Xiaobo,Zhou Kaiqing,et al.Determination of token in initial place of fuzzy Petri nets[J].Computer Engineering and Application,2012,48(12):49-52. [17]Renganathan K,Bhaskar V C.An observer based approach for achieving fault diagnosis and fault tolerant control of systems modeled as hybrid Petri nets[J].ISA Transactions,2011,50 (3):443-453. [18]陈理渊,黄进.电机故障诊断的多传感器数据融合方法[J].电力系统及其自动化学报,2005,17(1):48-52. Chen Liyuan,Huang Jin.Motor fault diagnosis with multi-sensor data fusion[J].Proceedings of the CSU-EPSA,2005,17(1):48-52.