发电机励磁控制实时监测与故障诊断专家系统的研究
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摘要
发电机励磁系统是发电机控制系统的核心,对整个电力系统安全稳定运行起着至关重要的作用。本文从运行和维护的角度分别研究了发电机励磁控制的实时监测系统和故障诊断专家系统。
首先,对励磁控制系统的实时监测模块进行了研究,介绍了相关硬件组成及各软件模块的设计思想及实现方法。励磁系统运行过程中需要监测和记录的数据很多,为了在不增加系统硬件和不降低装置可靠性的基础上实现大量数据的处理,本文利用CAN现场总线建立了实时监测系统,CAN总线将励磁装置各模块单元有机地联系起来,使监测系统可以实时获取所有的运行与控制数据,并且根据需要通过软件柔性调整数据量。监测系统软件采用图形化编程软件LabVIEW设计实现,软件体系包含了实时显示、参数修改、开关量顺序记录及故障录波等模块。监测系统不仅界面友好、功能丰富,而且软件维护和升级也非常方便。本监测模块已应用于一种新型励磁系统中。
励磁系统故障诊断专家系统可帮助现场维护维修人员快速故障定位,大大缩短故障停机时间。本文通过对励磁系统故障原因进行分析,结合现场维护专业人员和励磁专家的实际经验,建立了励磁系统故障诊断专家系统知识库及其维护系统。提出了专家系统的动态优先搜索策略,加快了系统的推理进程,能够更快地确定故障点。利用Prolog的ESTA外壳程序及LabVIEW分别建立了励磁故障诊断专家系统。该专家系统实现了励磁系统故障诊断的交互式人机界面,根据具体故障现象,系统提供了相应的故障处理意见及故障原因解释系统,利于现场人员快速解决与励磁系统有关的故障问题。
As the core of the generator control system, excitation equipment plays an important role in maintaining the safe and steady operation of generators and power systems. To improve operation and maintenance, a real-time monitoring system and an expert system for fault diagnosis of excitation system were discussed in this paper.
First, a real-time monitoring module of excitation system was discussed, including the hardware architecture and the design ideas and realization methods of the software module.There are a lot of parameters to be monitored and recorded in the excitation system, In order to process these data without increasing the hardware, a real-time monitoring system for excitation based on CAN bus was proposed. The modules of excitation system are connected with each other by CAN bus, so the monitoring system can receive all the operation and control data, and the data quantity can be modified by the software. LabVIEW was used for the design of the monitoring system software .The software system is composed of real-time display module, parameter configuration module, event sequence record module and fault data record module. The monitoring system has the characters of friendly interface, rich function, easy maintenance and easy upgrading. This monitoring module has been applied to a new type of excitation system. The excitation fault diagnosis expert system can make fast troubleshooting and shorter outage of generator. By analyzing the fault cause of the excitation system and combining the practical experience of the on-site maintenance personnel and excitation field experts, the knowledge base and the maintenance system of the excitation fault diagnosis expert system were established in this paper.
In order to fast troubleshooting, shorten reasoning time, the dynamic priority search strategy was proposed in this paper. The expert system for fault diagnosis of excitation program was based on LabVIEW and the ESTA shell of Prolog. As far as the excitation system fault is concerned, the expert system realized the Human-Machine Interaction. According to different malfunction to the idiographic malfunction, this expert system could offer corresponding Treatment suggestion and system fault reason interpretation. It is helpful for the site personnel to solve, in a fast way, the excitation system problem.
首先,对励磁控制系统的实时监测模块进行了研究,介绍了相关硬件组成及各软件模块的设计思想及实现方法。励磁系统运行过程中需要监测和记录的数据很多,为了在不增加系统硬件和不降低装置可靠性的基础上实现大量数据的处理,本文利用CAN现场总线建立了实时监测系统,CAN总线将励磁装置各模块单元有机地联系起来,使监测系统可以实时获取所有的运行与控制数据,并且根据需要通过软件柔性调整数据量。监测系统软件采用图形化编程软件LabVIEW设计实现,软件体系包含了实时显示、参数修改、开关量顺序记录及故障录波等模块。监测系统不仅界面友好、功能丰富,而且软件维护和升级也非常方便。本监测模块已应用于一种新型励磁系统中。
励磁系统故障诊断专家系统可帮助现场维护维修人员快速故障定位,大大缩短故障停机时间。本文通过对励磁系统故障原因进行分析,结合现场维护专业人员和励磁专家的实际经验,建立了励磁系统故障诊断专家系统知识库及其维护系统。提出了专家系统的动态优先搜索策略,加快了系统的推理进程,能够更快地确定故障点。利用Prolog的ESTA外壳程序及LabVIEW分别建立了励磁故障诊断专家系统。该专家系统实现了励磁系统故障诊断的交互式人机界面,根据具体故障现象,系统提供了相应的故障处理意见及故障原因解释系统,利于现场人员快速解决与励磁系统有关的故障问题。
As the core of the generator control system, excitation equipment plays an important role in maintaining the safe and steady operation of generators and power systems. To improve operation and maintenance, a real-time monitoring system and an expert system for fault diagnosis of excitation system were discussed in this paper.
First, a real-time monitoring module of excitation system was discussed, including the hardware architecture and the design ideas and realization methods of the software module.There are a lot of parameters to be monitored and recorded in the excitation system, In order to process these data without increasing the hardware, a real-time monitoring system for excitation based on CAN bus was proposed. The modules of excitation system are connected with each other by CAN bus, so the monitoring system can receive all the operation and control data, and the data quantity can be modified by the software. LabVIEW was used for the design of the monitoring system software .The software system is composed of real-time display module, parameter configuration module, event sequence record module and fault data record module. The monitoring system has the characters of friendly interface, rich function, easy maintenance and easy upgrading. This monitoring module has been applied to a new type of excitation system. The excitation fault diagnosis expert system can make fast troubleshooting and shorter outage of generator. By analyzing the fault cause of the excitation system and combining the practical experience of the on-site maintenance personnel and excitation field experts, the knowledge base and the maintenance system of the excitation fault diagnosis expert system were established in this paper.
In order to fast troubleshooting, shorten reasoning time, the dynamic priority search strategy was proposed in this paper. The expert system for fault diagnosis of excitation program was based on LabVIEW and the ESTA shell of Prolog. As far as the excitation system fault is concerned, the expert system realized the Human-Machine Interaction. According to different malfunction to the idiographic malfunction, this expert system could offer corresponding Treatment suggestion and system fault reason interpretation. It is helpful for the site personnel to solve, in a fast way, the excitation system problem.
引文
[1]李基成.现代同步发电机励磁系统设计应用(第二版).北京:中国电力出版社,2009. 53-60,170-176
[2]樊俊,陈忠,涂光瑜编著.同步发电机半导体励磁原理及应用.第二版:北京,水利电力出版社,1991:16-42
[3]韩英铎,谢小荣,崔文进.同步发电机励磁控制研究的现状与走向.清华大学学报(自然科学报),2001,41(4/5). 142-146
[4]郭创新,朱传柏,曹一家.电力系统故障诊断的研究现状与发展趋势.电力系统自动化,2006,30 (8).98-102
[5]陈维荣,宋永华等.电力系统设备状态监测的概念及现状.电网技术,2000(11).12-17
[6]魏延华,刘万军.电力系统发电机电气状态监测与故障诊断系统.辽宁工程技术大学学报,2004,23(1).73-75
[7] Benarouche A, Milanovic J.V, Hughes F.M. Improvement in power system voltage control and power transfer capabilities using enhanced generator excitation control. IEE Conference Publication, n 488, 2002.275-280
[8] Xiao Jian-Mei, Zheng Tian-Fu; Wang Xi-Huai. Nonlinear robust coordinated control of generator excitation system. Chinese Control and Decision Conference, 2008. 3023-3028
[9] Fusco Giuseppe, Russo Mario. A nonlinear control of synchronous generator excitation for voltage regulation in power systems. 2008 Mediterranean Conference on Control and Automation - Conference Proceedings, MED'08, 2008. 158-162
[10]马明远.人工智能与专家系统导论.北京:清华大学出版社,2006, 12-19, 92-96, 148-150
[11]史家燕,叶新福.发电机故障诊断专家系统在上海外高桥发电厂的实现.中国电力, 2001, 34(11).5-8
[12]杨苹,吴捷.火电厂的实时状态监测系统与故障诊断.电力系统自动化. 2000.(17) ,18-22
[13]蒲莹,汽轮发电机故障在线综合诊断系统的研究,华北电力(北京)大学博士论文,2001
[14]于刚,高正平,徐治皋等.基于神经网络与专家系统的汽轮发电机组故障诊断系统.电力系统自动化,2004,28(4). 67-70
[15]伍奎,汽轮发电机组在线监测诊断的网络化、智能化研究,重庆大学博士论文,2005
[16]刘晓波,黄其柏.水轮发电机组故障诊断模糊专家系统研究.华中科技大学学报(自然科学版),v 34,n 1, 2006, (1).71-73
[17]朱锟鹏,韩凤琴,曾凡师.水轮发电机组故障诊断专家系统知识库的设计.水电能源科学,2001,19(4)67-70
[18]朱敏,王富荣.引用神经网络的变压器故障诊断专家系统.计算机与现代化, 2004, 4.31-35
[19]杨兵,丁辉,罗为民,等.基于知识库的变压器故障诊断专家系统.中国电机工程学报,2002,22 (10).121-124
[20]姜琳,李朝晖.面向维护的励磁系统状态监测和诊断.水电自动化与大坝监测,2003,27(2).14-18
[21]李伟,刘欣.同步发电机励磁故障诊断系统研究及实现.微计算机信息,2007,(23) ,195-197
[22]王亮.虚拟仪器在发电机励磁系统功率单元故障诊断中的应用.西安理工大学硕士论文,2006
[23]张文玲.新型双通道同步发电机励磁装置的研究与开发.河北工业大学硕士论文,2000.4-1
[24]陈锡辉,张银鸿. LabVIEW 8.20程序设计从入门到精通.北京:清华大学出版社, 2007. 2-6
[25] Joseph C. Giarratano, Gary D. Riley. Expert Systems Principles And Programming (Fourth Edition).Thomson Learning. 1998. 71-79
[26]刘金琨等.智能控制.北京:电子工业出版社, 2009. 6-11
[27]蔡自兴.编著.智能控制原理与应用.北京:清华大学出版社, 2007. 56-77
[28]程伟良.广义专家系统.北京:北京理工大学出版社, 2005:56-63
[29] Prabha Kundur. Power System Stability and Control.北京:中国电力出版社,2001. 17-22
[30]敖志刚.人工智能与专家系统.2004.50-56
[31]李陶深.人工智能.重庆:重庆大学出版社, 2002:77-89
[32]郭谋发.基于CAN总线的发电机励磁监控系统.福州大学学报(自然科学版), 2007, 4(1). 214-217
[33]雷英杰,张雷,邢清华,金萍. Visual Prolog语言教程.西安:陕西科技出版社,2002
[34]陈长水,谢桂海,章曙等.基于实时数据采集的发电机故障诊断专家系统.军械工程学院学报,2000,12(4).14-19
[35] H.J.Holst. Visual Prolog version 5.x.Gretting Started.Prolog Development Environment Center, 2001
[36]雷英杰,王宝树,赵烨等著. Visual Prolog的回溯机制分析.空军工程大学学报,2004.5(5)80-84
[37]蔡自兴.约翰.德尔金,龚涛.高级专家系统:原理、设计及应用.北京:科学出版社.2005
[38]雷英杰,王涛,赵烨等编著. Visual Prolog的搜索控制机制分析.计算机科学,2005,32(4).52-54
[39]陈瑜,林涛,陈永雷.Visual Prolog语言在测试设备故障诊断专家系统中的应用.计算机测量与控制,2007. 15 (9). 1244-1246
[40] Cho H J, Park J K. An Expert System for Fault Section Diagnosis of Power Systems Using Fuzzy Relations. IEEE Trans on Power Systems,1997,12(1) . 342-348
[41] Mcarthur S D J,Davison E M,Hossack J A et al. Automating Power System Fault Diagnosis Through Multiagent system. In: Proceedings of the 37th Annual Hawaii International Conference on System Sciences. Big Island (HI,USA): 2004. 947-954
[42]吴今培,肖健华.智能故障诊断与专家系统.北京:科学出版社,1997.38-42,70-76
[43]殷国富.工程专家系统技术及其应用.成都:成都科技大学出版社,1993.59-61
[44] Joseph Giarratano.Gary Riley著.刘星成,汤庸译 Expret System Principles and Programmin.北京:机械工业出版社, 2000. 23-28
[45]王亮,张东生,南海鹏等.虚拟仪器在发电机励磁系统功率单元故障诊断中的应用.水电自动化与大坝监测,2006,30(3). 18-22
[46] (德)P.麦顿斯,V.波科维斯基,W.盖尔斯著,周鹰译.计算机专家系统应用.南京:南京大学出版社,1996,78-79
[47]伍征团,杨菊元,廖海东等.发电机励磁控制系统故障的分析及改进.华东电力, 2002, 30(2). 37-41.
[48]姜琳.同步发电机励磁系统状态监测与诊断研究.华中科技大学硕士学位论文,2003.10-13
[49]洪冶,蔡维由,乐振春.模糊故障树诊断及应用.武汉大学学报(工学版), 2001,34(1). 93-94
[50]蔡宗平,汤正平,闵海波.故障树分析法的专家系统在故障诊断中应用.微计算机信息, 2008. 8-1, 135-137
[51]阮跃,黄雅萍.大型电站状态监测与故障诊断专家系统的研究.电站系统工程,1997(5).13-16
[52]廉师友.人工智能技术导论(第二版).西安:西安电子科技大学出版社,2002,33-41
[53]王申康.专家系统的结构和应用.杭州:浙江大学出版社,1994,21-26
[54]范改芳.基于现场总线控制系统技术的研究与应用——CAN总线控制器局域网络的技术分析.郑州大学硕士论文,2001
[55] Ayasun Saffet, Gelen Ayetül. Stability analysis of a generator excitation control system with time delays.Electrical Engineering, v 91, n 6, 347-355
[56]张学军,刘小冰,阎彩萍等.基于正反向推理的电力系统故障诊断,电力系统自动化, 1998, 22(5). 30-32, 55
[57] Jain M. Babita, Jain Amit, Srinivas M.B. A web based expert system shell for fault diagnosis and control of power system equipment. Proceedings of 2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008 . 1310-1313
[58]杨晓萍,解建宝,张靠社等.水轮发电机组的事故停机分析与故障诊断专家系统的研究.西安理工大学学报, 1998, 14(2).201-205
[59] Nan Cen, Khan Faisal, Iqbal M. Tariq. Real-time fault diagnosis using knowledge-based expert system.Process Safety and Environmental Protection, v 86, n 1 B, 2008. 55-71
[60] Wang Yingying, Li Li, Chang Ming, et al. Fault diagnosis expert system based on integration of fault-tree and neural network. Proceedings - 2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009.230-235
[61]史家燕,史源素,赵肖敏等.三峡水力发电厂700MW水轮发电机故障诊断专家系统.中国电力, 2006, 39(1).63-67
[62] Monsef H, Ranjbar A M,Jadid S. Fuzzy Rule-based Expert System for Power System Fault Diagnosis.IEE Proceedings--Generation, Transmission and Distribution,1997,144(2): 186-192
[63] SANZ-BOBIi M A, Sonchez-UBEDA E F,Villar J et al. DIAMOND: Multi-agent Environment for Intelligent Diagnosis in Power Systems. In: Proceedings of International Conference on Intelligent Systems Application to Power Systems.Budapest (Hungary).2001.321-325
[64]束洪春,孙向飞,司大军.电力变压器故障诊断专家系统知识库建立和维护的粗糙集方法.中国电机工程学报, 2002, 2(2).31-35
[65] Assaf Tariq, Dugan, Joanne Bechta. Automatic generation of diagnostic expert systems from fault trees. Proceedings of the Annual Reliability and Maintainability Symposium, 2003.143-147,
[66] Wang Hong-Jun, Zhao Hui. Design of fuzzy-neuro controller applicated to a synchronous generator excitation control system. 2010 International Conference on Measuring Technology and Mechatronics Automation, 2010.997-999
[67] Tan J C, Crossly P A, Goody J et al. Fault Section Identification on a Transmission Network Using Action Factors and Expert System Technology. In: Proceedings of 13th Power Systems Computation Conference (PSCC’99).Trondheim (Norway),1999.820-826 [68廖志伟,孙雅明,叶青华.人工智能技术在电力系统故障诊断中应用.电力系统及其自动化学报,2003,15(6):71-79
[69] Awadallah, Mohamed A., Fuzzy-based on-line detection and prediction of switch faults in the brushless excitation system of synchronous generators.Electric Power Components and Systems, September 2010, v 38, n 12. 1370-1388
[70] Xiang Changcheng, Huang Xiyue,Yang Zuyuan, Fault diagnosis for excitation system based on waveletanalyses, In:Second International Conference on Innovative Computing, Information and Control, ICICIC 2007. 33-41
[71]蔡宗平,汤正平,闵海波.故障树分析法的专家系统在故障诊断中应用.微计算机信息, 2008. 8-1,135-137
[72] El-Fergany, A.A.; Yousef, M.T.; El-Alaily, A.A.;Development of a Rule-Based Expert System for Alarm Processing in Electric Power Systems In: Proceedings of the Universities Power Engineering Conference, UPEC 2001,v 36: 1481-1485
[73] Kontogiannis, C.C, Safacas, A.N. A knowledge based fault diagnosis and supervisory expert system for generators and distribution substations in power plants , Proceedings of the Fourth IASTED International Conference on Power and Energy Systems Series on Energy and Power Systems, 2004:p 337-341
[74] Sun Yaming, Wang Yusheng, Ma Qunzhang, Behaviour monitoring of on-line power thyristors in generator static excitation system and its fault diagnosis using expert system, Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 1991, Mar ,v 11, n 2: 37-46
[75] Popov, G.V.;Vatletsov, A.V.;Al-Hamri,S.S.,Expert systems in power-transformer diagnostics, Russian Electrical Engineering, 2003,v 74, n 8: 7-13
[76] Falqueto, Jovelino, Matheus Sebastian ,Automation of diagnosis of electric power transformers in Itaipu Hydroelectric Plant with a fuzzy expert system, IEEE Symposium on Emerging Technologies and Factory Automation, ETFA, 2007: 577-584
[77]沈正华.电力变压器信息管理及故障诊断专家系统.华东电力, 2004, 32(7). 31-33
[78] Zhang, Da-Fa; Chen, Deng-Ke,Application of expert system and knowledge representation in marine nuclear power plant fault diagnosis system, Yuanzineng Kexue Jishu/Atomic Energy Science and Technology, September 2006 ,v 40, n SUPPL: 19-22
[79] Bob-Manuel, K.D.H. Use of expert systems for optimum maintenance of marine power plants, Marine Technology Society Journal, Spring 2004,v 38, n 1:24-29
[80] Chen Zhi-Hui,Xia Hong; Liu Miao, Study of expert system of fault diagnosis for nuclear power plant , Hedongli Gongcheng/Nuclear Power Engineering, October 2005,v 26, n 5: 523-527
[81] Zhang Yan,ZhouZhi-Wei; Dong Xiu-Chen, Design and implementation of real-time diagnostic expert system in nuclear power plant, Yuanzineng Kexue Jishu/Atomic Energy Science and Technology, July 2006 ,v 40, n 4:420-423
[82] Lee, M.-R., Oh, J.-C., Expert system for a nuclear power plant accident diagnosis using a fuzzy inference method,Korean Journal of Computational and Applied Mathematics, May 2001,v 8, n 2: 413-426
[83] Kubiak, J., Urquiza B., G.; García-Gutierrez, A., Integrated diagnostic system for the equipment of power plants: Part II - The expert system,In: Proceedings of the 2002 International Joint Power Generation Conference, 2002: 467-473
[84] Deng Wu, Yang Xin-Hua,Zhao Hui-Min;et al, Application of rough sets, neural network and expert system to power system fault diagnosis, Gaodianya Jishu/High Voltage Engineering, July 2009, v 35, n 7:1624-1628
[85] R?sner, Michael; Weenen, Jens; Hao, Xu,Benefits of comprehensive and interactive on-line monitoring and expert systems for power transformers,In: Proceedings of 2008 International Conference onCondition Monitoring and Diagnosis, CMD 2008: 1302-1306
[86] Li Wei, Ying Jianping, Design and analysis artificial intelligence (AI) research for power supply - Power electronics expert system (PEES),In:Source: Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC, 2008: 2009-2015
[87] Hamzeh, Ali, Zaidan, K. Development of an expert system for off- and on-line faults diagnosis in electric power systems,In: Proceedings - 2004 International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA 2004: 135-136
[88] Zhao Wei,Bai Xiaomin,Ding Jian; et al. A new fault diagnosis approach of power grid based on cooperative expert system and multi-agent technology. In: Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2006v 26, October 16,n 20: 1-8
[89] Mellit, Adel,Development of an expert configuration of stand-alone power PV system based on adaptive Neuro-Fuzzy inference system (ANFIS) In: Proceedings of the Mediterranean Electrotechnical Conference - MELECON, v 2006:893-896
[90] Yu, Yuehai; Bai, Yichuan; Xi, Guofu; et al, Fault Analysis Expert System for power system In: 2004 International Conference on Power System Technology, POWERCON 2004, v 2:1822-1826
[91] Styvaktakis, Emmanouil; Bollen, Math H.J.; Gu, Irene Y.H.,Expert system for classification and analysis of power system eventsSource: IEEE Transactions on Power Delivery, April 2002,v 17, n 2: 423-428
[92] El-Fergany, A.A.; Yousef, M.T.; El-Alaily, A.A,.Fault diagnosis in power systems - Substation level -Through hybird Artificial Neural Networks and Expert System In:Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference, v 1, 2001: 207-211
[93] Qin Huabiao,Lin Tusheng, Lai Shengli, et al,Expert system for power system based on parameter testing,Xiaoxing Weixing Jisuanji Xitong/Mini-Micro Systems, May 2000,v 21, n 5:541-543
[94] Liu Wei, Huang Xiyue; Liu Zheng, Intelligent fault diagnosis and fault tolerant control on nonlinear excitation system, In:Proceedings of the World Congress on Intelligent Control and Automation (WCICA), 2006: v 2, 5787-5790
[95] Shu Hongchun; Chen Xueyun; Xu Chengbin ,Multi-port excitation fault diagnosis for line-to-line fault on the distribution system with tree structure ,Weidianzixue yu Jisuanji/Microelectronics & Computer, 1997, 50, Feb 1, v 14, n 1: 45-47
[96] Assaf Tariq, Dugan, Joanne Bechta. Diagnostic expert systems from dynamic fault trees. Proceedings of the Annual Reliability and Maintainability Symposium, 2004. 444-450
[2]樊俊,陈忠,涂光瑜编著.同步发电机半导体励磁原理及应用.第二版:北京,水利电力出版社,1991:16-42
[3]韩英铎,谢小荣,崔文进.同步发电机励磁控制研究的现状与走向.清华大学学报(自然科学报),2001,41(4/5). 142-146
[4]郭创新,朱传柏,曹一家.电力系统故障诊断的研究现状与发展趋势.电力系统自动化,2006,30 (8).98-102
[5]陈维荣,宋永华等.电力系统设备状态监测的概念及现状.电网技术,2000(11).12-17
[6]魏延华,刘万军.电力系统发电机电气状态监测与故障诊断系统.辽宁工程技术大学学报,2004,23(1).73-75
[7] Benarouche A, Milanovic J.V, Hughes F.M. Improvement in power system voltage control and power transfer capabilities using enhanced generator excitation control. IEE Conference Publication, n 488, 2002.275-280
[8] Xiao Jian-Mei, Zheng Tian-Fu; Wang Xi-Huai. Nonlinear robust coordinated control of generator excitation system. Chinese Control and Decision Conference, 2008. 3023-3028
[9] Fusco Giuseppe, Russo Mario. A nonlinear control of synchronous generator excitation for voltage regulation in power systems. 2008 Mediterranean Conference on Control and Automation - Conference Proceedings, MED'08, 2008. 158-162
[10]马明远.人工智能与专家系统导论.北京:清华大学出版社,2006, 12-19, 92-96, 148-150
[11]史家燕,叶新福.发电机故障诊断专家系统在上海外高桥发电厂的实现.中国电力, 2001, 34(11).5-8
[12]杨苹,吴捷.火电厂的实时状态监测系统与故障诊断.电力系统自动化. 2000.(17) ,18-22
[13]蒲莹,汽轮发电机故障在线综合诊断系统的研究,华北电力(北京)大学博士论文,2001
[14]于刚,高正平,徐治皋等.基于神经网络与专家系统的汽轮发电机组故障诊断系统.电力系统自动化,2004,28(4). 67-70
[15]伍奎,汽轮发电机组在线监测诊断的网络化、智能化研究,重庆大学博士论文,2005
[16]刘晓波,黄其柏.水轮发电机组故障诊断模糊专家系统研究.华中科技大学学报(自然科学版),v 34,n 1, 2006, (1).71-73
[17]朱锟鹏,韩凤琴,曾凡师.水轮发电机组故障诊断专家系统知识库的设计.水电能源科学,2001,19(4)67-70
[18]朱敏,王富荣.引用神经网络的变压器故障诊断专家系统.计算机与现代化, 2004, 4.31-35
[19]杨兵,丁辉,罗为民,等.基于知识库的变压器故障诊断专家系统.中国电机工程学报,2002,22 (10).121-124
[20]姜琳,李朝晖.面向维护的励磁系统状态监测和诊断.水电自动化与大坝监测,2003,27(2).14-18
[21]李伟,刘欣.同步发电机励磁故障诊断系统研究及实现.微计算机信息,2007,(23) ,195-197
[22]王亮.虚拟仪器在发电机励磁系统功率单元故障诊断中的应用.西安理工大学硕士论文,2006
[23]张文玲.新型双通道同步发电机励磁装置的研究与开发.河北工业大学硕士论文,2000.4-1
[24]陈锡辉,张银鸿. LabVIEW 8.20程序设计从入门到精通.北京:清华大学出版社, 2007. 2-6
[25] Joseph C. Giarratano, Gary D. Riley. Expert Systems Principles And Programming (Fourth Edition).Thomson Learning. 1998. 71-79
[26]刘金琨等.智能控制.北京:电子工业出版社, 2009. 6-11
[27]蔡自兴.编著.智能控制原理与应用.北京:清华大学出版社, 2007. 56-77
[28]程伟良.广义专家系统.北京:北京理工大学出版社, 2005:56-63
[29] Prabha Kundur. Power System Stability and Control.北京:中国电力出版社,2001. 17-22
[30]敖志刚.人工智能与专家系统.2004.50-56
[31]李陶深.人工智能.重庆:重庆大学出版社, 2002:77-89
[32]郭谋发.基于CAN总线的发电机励磁监控系统.福州大学学报(自然科学版), 2007, 4(1). 214-217
[33]雷英杰,张雷,邢清华,金萍. Visual Prolog语言教程.西安:陕西科技出版社,2002
[34]陈长水,谢桂海,章曙等.基于实时数据采集的发电机故障诊断专家系统.军械工程学院学报,2000,12(4).14-19
[35] H.J.Holst. Visual Prolog version 5.x.Gretting Started.Prolog Development Environment Center, 2001
[36]雷英杰,王宝树,赵烨等著. Visual Prolog的回溯机制分析.空军工程大学学报,2004.5(5)80-84
[37]蔡自兴.约翰.德尔金,龚涛.高级专家系统:原理、设计及应用.北京:科学出版社.2005
[38]雷英杰,王涛,赵烨等编著. Visual Prolog的搜索控制机制分析.计算机科学,2005,32(4).52-54
[39]陈瑜,林涛,陈永雷.Visual Prolog语言在测试设备故障诊断专家系统中的应用.计算机测量与控制,2007. 15 (9). 1244-1246
[40] Cho H J, Park J K. An Expert System for Fault Section Diagnosis of Power Systems Using Fuzzy Relations. IEEE Trans on Power Systems,1997,12(1) . 342-348
[41] Mcarthur S D J,Davison E M,Hossack J A et al. Automating Power System Fault Diagnosis Through Multiagent system. In: Proceedings of the 37th Annual Hawaii International Conference on System Sciences. Big Island (HI,USA): 2004. 947-954
[42]吴今培,肖健华.智能故障诊断与专家系统.北京:科学出版社,1997.38-42,70-76
[43]殷国富.工程专家系统技术及其应用.成都:成都科技大学出版社,1993.59-61
[44] Joseph Giarratano.Gary Riley著.刘星成,汤庸译 Expret System Principles and Programmin.北京:机械工业出版社, 2000. 23-28
[45]王亮,张东生,南海鹏等.虚拟仪器在发电机励磁系统功率单元故障诊断中的应用.水电自动化与大坝监测,2006,30(3). 18-22
[46] (德)P.麦顿斯,V.波科维斯基,W.盖尔斯著,周鹰译.计算机专家系统应用.南京:南京大学出版社,1996,78-79
[47]伍征团,杨菊元,廖海东等.发电机励磁控制系统故障的分析及改进.华东电力, 2002, 30(2). 37-41.
[48]姜琳.同步发电机励磁系统状态监测与诊断研究.华中科技大学硕士学位论文,2003.10-13
[49]洪冶,蔡维由,乐振春.模糊故障树诊断及应用.武汉大学学报(工学版), 2001,34(1). 93-94
[50]蔡宗平,汤正平,闵海波.故障树分析法的专家系统在故障诊断中应用.微计算机信息, 2008. 8-1, 135-137
[51]阮跃,黄雅萍.大型电站状态监测与故障诊断专家系统的研究.电站系统工程,1997(5).13-16
[52]廉师友.人工智能技术导论(第二版).西安:西安电子科技大学出版社,2002,33-41
[53]王申康.专家系统的结构和应用.杭州:浙江大学出版社,1994,21-26
[54]范改芳.基于现场总线控制系统技术的研究与应用——CAN总线控制器局域网络的技术分析.郑州大学硕士论文,2001
[55] Ayasun Saffet, Gelen Ayetül. Stability analysis of a generator excitation control system with time delays.Electrical Engineering, v 91, n 6, 347-355
[56]张学军,刘小冰,阎彩萍等.基于正反向推理的电力系统故障诊断,电力系统自动化, 1998, 22(5). 30-32, 55
[57] Jain M. Babita, Jain Amit, Srinivas M.B. A web based expert system shell for fault diagnosis and control of power system equipment. Proceedings of 2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008 . 1310-1313
[58]杨晓萍,解建宝,张靠社等.水轮发电机组的事故停机分析与故障诊断专家系统的研究.西安理工大学学报, 1998, 14(2).201-205
[59] Nan Cen, Khan Faisal, Iqbal M. Tariq. Real-time fault diagnosis using knowledge-based expert system.Process Safety and Environmental Protection, v 86, n 1 B, 2008. 55-71
[60] Wang Yingying, Li Li, Chang Ming, et al. Fault diagnosis expert system based on integration of fault-tree and neural network. Proceedings - 2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009.230-235
[61]史家燕,史源素,赵肖敏等.三峡水力发电厂700MW水轮发电机故障诊断专家系统.中国电力, 2006, 39(1).63-67
[62] Monsef H, Ranjbar A M,Jadid S. Fuzzy Rule-based Expert System for Power System Fault Diagnosis.IEE Proceedings--Generation, Transmission and Distribution,1997,144(2): 186-192
[63] SANZ-BOBIi M A, Sonchez-UBEDA E F,Villar J et al. DIAMOND: Multi-agent Environment for Intelligent Diagnosis in Power Systems. In: Proceedings of International Conference on Intelligent Systems Application to Power Systems.Budapest (Hungary).2001.321-325
[64]束洪春,孙向飞,司大军.电力变压器故障诊断专家系统知识库建立和维护的粗糙集方法.中国电机工程学报, 2002, 2(2).31-35
[65] Assaf Tariq, Dugan, Joanne Bechta. Automatic generation of diagnostic expert systems from fault trees. Proceedings of the Annual Reliability and Maintainability Symposium, 2003.143-147,
[66] Wang Hong-Jun, Zhao Hui. Design of fuzzy-neuro controller applicated to a synchronous generator excitation control system. 2010 International Conference on Measuring Technology and Mechatronics Automation, 2010.997-999
[67] Tan J C, Crossly P A, Goody J et al. Fault Section Identification on a Transmission Network Using Action Factors and Expert System Technology. In: Proceedings of 13th Power Systems Computation Conference (PSCC’99).Trondheim (Norway),1999.820-826 [68廖志伟,孙雅明,叶青华.人工智能技术在电力系统故障诊断中应用.电力系统及其自动化学报,2003,15(6):71-79
[69] Awadallah, Mohamed A., Fuzzy-based on-line detection and prediction of switch faults in the brushless excitation system of synchronous generators.Electric Power Components and Systems, September 2010, v 38, n 12. 1370-1388
[70] Xiang Changcheng, Huang Xiyue,Yang Zuyuan, Fault diagnosis for excitation system based on waveletanalyses, In:Second International Conference on Innovative Computing, Information and Control, ICICIC 2007. 33-41
[71]蔡宗平,汤正平,闵海波.故障树分析法的专家系统在故障诊断中应用.微计算机信息, 2008. 8-1,135-137
[72] El-Fergany, A.A.; Yousef, M.T.; El-Alaily, A.A.;Development of a Rule-Based Expert System for Alarm Processing in Electric Power Systems In: Proceedings of the Universities Power Engineering Conference, UPEC 2001,v 36: 1481-1485
[73] Kontogiannis, C.C, Safacas, A.N. A knowledge based fault diagnosis and supervisory expert system for generators and distribution substations in power plants , Proceedings of the Fourth IASTED International Conference on Power and Energy Systems Series on Energy and Power Systems, 2004:p 337-341
[74] Sun Yaming, Wang Yusheng, Ma Qunzhang, Behaviour monitoring of on-line power thyristors in generator static excitation system and its fault diagnosis using expert system, Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 1991, Mar ,v 11, n 2: 37-46
[75] Popov, G.V.;Vatletsov, A.V.;Al-Hamri,S.S.,Expert systems in power-transformer diagnostics, Russian Electrical Engineering, 2003,v 74, n 8: 7-13
[76] Falqueto, Jovelino, Matheus Sebastian ,Automation of diagnosis of electric power transformers in Itaipu Hydroelectric Plant with a fuzzy expert system, IEEE Symposium on Emerging Technologies and Factory Automation, ETFA, 2007: 577-584
[77]沈正华.电力变压器信息管理及故障诊断专家系统.华东电力, 2004, 32(7). 31-33
[78] Zhang, Da-Fa; Chen, Deng-Ke,Application of expert system and knowledge representation in marine nuclear power plant fault diagnosis system, Yuanzineng Kexue Jishu/Atomic Energy Science and Technology, September 2006 ,v 40, n SUPPL: 19-22
[79] Bob-Manuel, K.D.H. Use of expert systems for optimum maintenance of marine power plants, Marine Technology Society Journal, Spring 2004,v 38, n 1:24-29
[80] Chen Zhi-Hui,Xia Hong; Liu Miao, Study of expert system of fault diagnosis for nuclear power plant , Hedongli Gongcheng/Nuclear Power Engineering, October 2005,v 26, n 5: 523-527
[81] Zhang Yan,ZhouZhi-Wei; Dong Xiu-Chen, Design and implementation of real-time diagnostic expert system in nuclear power plant, Yuanzineng Kexue Jishu/Atomic Energy Science and Technology, July 2006 ,v 40, n 4:420-423
[82] Lee, M.-R., Oh, J.-C., Expert system for a nuclear power plant accident diagnosis using a fuzzy inference method,Korean Journal of Computational and Applied Mathematics, May 2001,v 8, n 2: 413-426
[83] Kubiak, J., Urquiza B., G.; García-Gutierrez, A., Integrated diagnostic system for the equipment of power plants: Part II - The expert system,In: Proceedings of the 2002 International Joint Power Generation Conference, 2002: 467-473
[84] Deng Wu, Yang Xin-Hua,Zhao Hui-Min;et al, Application of rough sets, neural network and expert system to power system fault diagnosis, Gaodianya Jishu/High Voltage Engineering, July 2009, v 35, n 7:1624-1628
[85] R?sner, Michael; Weenen, Jens; Hao, Xu,Benefits of comprehensive and interactive on-line monitoring and expert systems for power transformers,In: Proceedings of 2008 International Conference onCondition Monitoring and Diagnosis, CMD 2008: 1302-1306
[86] Li Wei, Ying Jianping, Design and analysis artificial intelligence (AI) research for power supply - Power electronics expert system (PEES),In:Source: Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC, 2008: 2009-2015
[87] Hamzeh, Ali, Zaidan, K. Development of an expert system for off- and on-line faults diagnosis in electric power systems,In: Proceedings - 2004 International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA 2004: 135-136
[88] Zhao Wei,Bai Xiaomin,Ding Jian; et al. A new fault diagnosis approach of power grid based on cooperative expert system and multi-agent technology. In: Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2006v 26, October 16,n 20: 1-8
[89] Mellit, Adel,Development of an expert configuration of stand-alone power PV system based on adaptive Neuro-Fuzzy inference system (ANFIS) In: Proceedings of the Mediterranean Electrotechnical Conference - MELECON, v 2006:893-896
[90] Yu, Yuehai; Bai, Yichuan; Xi, Guofu; et al, Fault Analysis Expert System for power system In: 2004 International Conference on Power System Technology, POWERCON 2004, v 2:1822-1826
[91] Styvaktakis, Emmanouil; Bollen, Math H.J.; Gu, Irene Y.H.,Expert system for classification and analysis of power system eventsSource: IEEE Transactions on Power Delivery, April 2002,v 17, n 2: 423-428
[92] El-Fergany, A.A.; Yousef, M.T.; El-Alaily, A.A,.Fault diagnosis in power systems - Substation level -Through hybird Artificial Neural Networks and Expert System In:Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference, v 1, 2001: 207-211
[93] Qin Huabiao,Lin Tusheng, Lai Shengli, et al,Expert system for power system based on parameter testing,Xiaoxing Weixing Jisuanji Xitong/Mini-Micro Systems, May 2000,v 21, n 5:541-543
[94] Liu Wei, Huang Xiyue; Liu Zheng, Intelligent fault diagnosis and fault tolerant control on nonlinear excitation system, In:Proceedings of the World Congress on Intelligent Control and Automation (WCICA), 2006: v 2, 5787-5790
[95] Shu Hongchun; Chen Xueyun; Xu Chengbin ,Multi-port excitation fault diagnosis for line-to-line fault on the distribution system with tree structure ,Weidianzixue yu Jisuanji/Microelectronics & Computer, 1997, 50, Feb 1, v 14, n 1: 45-47
[96] Assaf Tariq, Dugan, Joanne Bechta. Diagnostic expert systems from dynamic fault trees. Proceedings of the Annual Reliability and Maintainability Symposium, 2004. 444-450