发电机故障诊断系统中诊断处理子系统的研究
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摘要
发电机故障诊断系统，对电力安全生产起着重要保障作用，同时还具有重大的社会效益和经济效益。故障诊断处理系统作为故障诊断系统中的一个子系统，诊断处理子系统的主要功能包括两个方面：
1.对每一个诊断结果进行分级处理；
2.为专家系统的实际应用提供故障分类管理、动态实时解释、故障追忆、查询、报表打印、权限设置、在线帮助等功能。
在多客户端运行机制的前提下，对作为客户端的诊断处理子系统，本文实现了上述两个方面十余项功能。具体包括诊断处理子系统的设计、各功能模块的详细设计以及改子系统与其它子系统的数据接口设计。最后采用SQL Server2000和Delphi 5.0作为数据库和客户端开发工具，完成了具体的程序设计。事实证明，本文推出的系统功能及设计方案是切实可行的。
Generator fault diagnosis system plays an important guarantee role on the safe production of electric power, and at the same time it also has great social benefits and economic benefits. As a subsystem of fault diagnosis system, fault diagnosis processing system has two main functions：
1.Processing every diagnosis result in grades;
2.Offering many functions for the practical application of expert system，such as fault-sorted management, dynamic real-time explanation, fault recollecting, fault inquiry, report printing, authority establishment and online helping.
On the premise of multi-client operating mechanism, this thesis has realized the above-mentioned two respects and more than ten functions for the diagnosis processing subsystem of the client. These functions include the design of diagnosis processing subsystem, detailed design of each functional module and design of data interfaces between the diagnosis processing subsystem and the other subsystems. Finally, SQLServer2000 and Delphi 5.0 are used as the developing tools for the database and the client to implement the concrete program design. The fact shows that the system function and the design scheme of this thesis are feasible.
1.对每一个诊断结果进行分级处理；
2.为专家系统的实际应用提供故障分类管理、动态实时解释、故障追忆、查询、报表打印、权限设置、在线帮助等功能。
在多客户端运行机制的前提下，对作为客户端的诊断处理子系统，本文实现了上述两个方面十余项功能。具体包括诊断处理子系统的设计、各功能模块的详细设计以及改子系统与其它子系统的数据接口设计。最后采用SQL Server2000和Delphi 5.0作为数据库和客户端开发工具，完成了具体的程序设计。事实证明，本文推出的系统功能及设计方案是切实可行的。
Generator fault diagnosis system plays an important guarantee role on the safe production of electric power, and at the same time it also has great social benefits and economic benefits. As a subsystem of fault diagnosis system, fault diagnosis processing system has two main functions：
1.Processing every diagnosis result in grades;
2.Offering many functions for the practical application of expert system，such as fault-sorted management, dynamic real-time explanation, fault recollecting, fault inquiry, report printing, authority establishment and online helping.
On the premise of multi-client operating mechanism, this thesis has realized the above-mentioned two respects and more than ten functions for the diagnosis processing subsystem of the client. These functions include the design of diagnosis processing subsystem, detailed design of each functional module and design of data interfaces between the diagnosis processing subsystem and the other subsystems. Finally, SQLServer2000 and Delphi 5.0 are used as the developing tools for the database and the client to implement the concrete program design. The fact shows that the system function and the design scheme of this thesis are feasible.
引文
1 冯兰君，李建，吕炳朝．燃气轮机故障诊断专家系统的设计与实现[J]．电子科技大学学报，2000，29(3)：278～281.
2 汪耕, 李希明等. 大型汽轮发电机设计制造与运行. 上海 上海科学技术出版社, 2000 年.
3 胡敏强.基于思维模式融合故障诊断的专家系统与神经网络，《电工技术学报》,Vol.14, No.2,1999
4 胡敏强.水轮发电机定子绕组内部故障稳态电量仿真及其规律探讨，《中国电机工程学报》,Vol.19, No.4,1999
5 冯复生. 大型汽轮发电机近年来事故原因及防范对策. 电网技术, 1999,23 1 : 74～78.
6 张国斌, 许敏强, 徐世昌. 200MW 汽轮发电机组故障诊断专家系统的研究. 汽轮机技术, 1999, 41 4 : 234～236.
7 蒋东翔, 倪维斗. 大型汽轮发电机组混合智能诊断方法的研究. 清华大学学报, 1999, 39 3 : 75～78.
8 阮跃. 汽轮发电机组故障诊断问题的研究. 河北电力技术, 1999, 18 2 : 6～9.
9 韩西京, 张锦萍, 赵淳生.智能诊断中的状态监测与趋势分析. 数据采集与处理.1999,14 1:115～118.
10 贾民平, 许飞云, 钟秉林, 等. 远程分布式汽轮机组故障诊断网络系统的研究. 中国电机工程学报, 1998, 18 1 : 60～63.
11 D. Zlatanovici, 等. 汽轮发电机在线诊断 数据记录和预测. 国外大电机,1997, 1 :21～26.
12 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年.
13 方泽南. 100MW 汽轮发电机组状态监测与故障诊断系统研究. 清华大学博士学位论文, 1997 年.
14 祝婷, 张雪江. 汽轮发电机组运行状态实时监测与诊断系统. 河北电力技术, 1997 , 10 1: 22～27.
15 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,
13 3 : 13～16.
16 黄文虎, 夏松波, 刘瑞岩. 设备故障诊断原理 技术及应用. 北京: 科学出版社, 1997 年.
17 傅忠广，杨昆，宋立平 大机组故障诊断技术的展望，现代电力 1997年14（4）；3～4
18 焦李成. 神经网络系统理论. 西安: 西安电子科技大学出版社, 1996 年.
19 姜建国, 等. 故障诊断学及其在电工中的应用. 北京: 科学出版社, 1995年.
20 Janson. TURBO PROLOG与专家系统[M]．李聪译．北京：电子工业出版社，1994.82～96.
21故障诊断专家系统实时数据库获取现场实时数据的方法http://www.jicheng.net.cn/auto_news/others/1001747.html
22 韩桢祥, 文福栓. 人工神经网络在电力系统中的应用的新进展（一）（二） . 电力系统自动化, 1993, 17 1 :52~59, 17 2 :55～62.
23 史铁林, 王雪, 何涛. 基于知识的汽轮发电机组在线工况监测与故障诊断系统. 计算机工程, 1993, 19 2 :37～40.
24 蒲 莹 汽轮发电机故障在线综合诊断系统的研究博士学位论文 ， 2001
25 Subhasis Nandi. Fault Diagnosis of Electrical Machines A Review. International Conference on Electrical Machine Drives, 1999.
26 D.Zlatanovici. Technologies for 'On-line' Diagnosis, Data Logging and Prediction at Turbogenerators. International Conference on Large High Voltage Electric Systems, 1996 Session.
27 Skormin, Victor A., Gerald S., et al. On-line Diagnostic System for Power Generators. Proceedings of 1996 International Joint Power Generation Conference. Houston, TX, USA, 1996.
28 L.G.Mamikonyants, V.V.Masloov, V.A.Pikulsky, et al. Turbo-generator Stator Life Managementon the Basis of Condition Monitoring and Diagnostics. International Conference on Large High Voltage Electric Systems, 1996 Session.
29 Kezunovic, I.Rikalo, J.Sun, et al. Implementation Framework for an Expert System for Generator Monitoring. International Conference on Intelligent Systems Application to Power Systems, 1996 ( ISAP'96).
30 Avelino J. Gonzalez, M.Stan Baldwin, Jan Stein, N.E. Nilsson. Monitoring and Diagnostics of Turbine Driven Generators. 2000 Pearson Education Canada Inc. Toronto, Ontario, Canada, 1995.
31 Chu B．Fault diagnosis with continuous system models[J]．IEEE Trans System, Man Cybern, 1993, 23 (1):55～64.
32 G.S.Klempner, B.Lloyd, A.Kornfeld. Experience With an Adaptive Expert Monitoring System for Turbine Generator Monitoring. International Conference on Large High Voltage Electric Systems, 1992 Session
33 R.L.Osborne. Field Experience With Expert Systems for On-line Diagnosis of Turbine Generators. International Conference on Large High Voltage Electric Systems, 1988 Session.
34 A.J.Gonzalez et al. On-line Diagnosis of Turbine-generator Using Artificial Intelligence. IEEE Trans EC, Vol.1, No.1, pp.68～74, June 1986.
35 Osborne, R.L., Gonzales, A.J., et al. Increased Power Plant Availability and Reliability Through On-line Diagnosis Based on Artificial Intelligence. Proceedings of 45th Annual Meeting of the American Power Conference, Chicago, 1985.
36 W.T. Thomson. Research and Development of On-line Diagnostic Monitoring System for Electrical Machines. IEEE Colloquium on Instrumentation of Rotating Electrical Machines.
2 汪耕, 李希明等. 大型汽轮发电机设计制造与运行. 上海 上海科学技术出版社, 2000 年.
3 胡敏强.基于思维模式融合故障诊断的专家系统与神经网络，《电工技术学报》,Vol.14, No.2,1999
4 胡敏强.水轮发电机定子绕组内部故障稳态电量仿真及其规律探讨，《中国电机工程学报》,Vol.19, No.4,1999
5 冯复生. 大型汽轮发电机近年来事故原因及防范对策. 电网技术, 1999,23 1 : 74～78.
6 张国斌, 许敏强, 徐世昌. 200MW 汽轮发电机组故障诊断专家系统的研究. 汽轮机技术, 1999, 41 4 : 234～236.
7 蒋东翔, 倪维斗. 大型汽轮发电机组混合智能诊断方法的研究. 清华大学学报, 1999, 39 3 : 75～78.
8 阮跃. 汽轮发电机组故障诊断问题的研究. 河北电力技术, 1999, 18 2 : 6～9.
9 韩西京, 张锦萍, 赵淳生.智能诊断中的状态监测与趋势分析. 数据采集与处理.1999,14 1:115～118.
10 贾民平, 许飞云, 钟秉林, 等. 远程分布式汽轮机组故障诊断网络系统的研究. 中国电机工程学报, 1998, 18 1 : 60～63.
11 D. Zlatanovici, 等. 汽轮发电机在线诊断 数据记录和预测. 国外大电机,1997, 1 :21～26.
12 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年.
13 方泽南. 100MW 汽轮发电机组状态监测与故障诊断系统研究. 清华大学博士学位论文, 1997 年.
14 祝婷, 张雪江. 汽轮发电机组运行状态实时监测与诊断系统. 河北电力技术, 1997 , 10 1: 22～27.
15 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,
13 3 : 13～16.
16 黄文虎, 夏松波, 刘瑞岩. 设备故障诊断原理 技术及应用. 北京: 科学出版社, 1997 年.
17 傅忠广，杨昆，宋立平 大机组故障诊断技术的展望，现代电力 1997年14（4）；3～4
18 焦李成. 神经网络系统理论. 西安: 西安电子科技大学出版社, 1996 年.
19 姜建国, 等. 故障诊断学及其在电工中的应用. 北京: 科学出版社, 1995年.
20 Janson. TURBO PROLOG与专家系统[M]．李聪译．北京：电子工业出版社，1994.82～96.
21故障诊断专家系统实时数据库获取现场实时数据的方法http://www.jicheng.net.cn/auto_news/others/1001747.html
22 韩桢祥, 文福栓. 人工神经网络在电力系统中的应用的新进展（一）（二） . 电力系统自动化, 1993, 17 1 :52~59, 17 2 :55～62.
23 史铁林, 王雪, 何涛. 基于知识的汽轮发电机组在线工况监测与故障诊断系统. 计算机工程, 1993, 19 2 :37～40.
24 蒲 莹 汽轮发电机故障在线综合诊断系统的研究博士学位论文 ， 2001
25 Subhasis Nandi. Fault Diagnosis of Electrical Machines A Review. International Conference on Electrical Machine Drives, 1999.
26 D.Zlatanovici. Technologies for 'On-line' Diagnosis, Data Logging and Prediction at Turbogenerators. International Conference on Large High Voltage Electric Systems, 1996 Session.
27 Skormin, Victor A., Gerald S., et al. On-line Diagnostic System for Power Generators. Proceedings of 1996 International Joint Power Generation Conference. Houston, TX, USA, 1996.
28 L.G.Mamikonyants, V.V.Masloov, V.A.Pikulsky, et al. Turbo-generator Stator Life Managementon the Basis of Condition Monitoring and Diagnostics. International Conference on Large High Voltage Electric Systems, 1996 Session.
29 Kezunovic, I.Rikalo, J.Sun, et al. Implementation Framework for an Expert System for Generator Monitoring. International Conference on Intelligent Systems Application to Power Systems, 1996 ( ISAP'96).
30 Avelino J. Gonzalez, M.Stan Baldwin, Jan Stein, N.E. Nilsson. Monitoring and Diagnostics of Turbine Driven Generators. 2000 Pearson Education Canada Inc. Toronto, Ontario, Canada, 1995.
31 Chu B．Fault diagnosis with continuous system models[J]．IEEE Trans System, Man Cybern, 1993, 23 (1):55～64.
32 G.S.Klempner, B.Lloyd, A.Kornfeld. Experience With an Adaptive Expert Monitoring System for Turbine Generator Monitoring. International Conference on Large High Voltage Electric Systems, 1992 Session
33 R.L.Osborne. Field Experience With Expert Systems for On-line Diagnosis of Turbine Generators. International Conference on Large High Voltage Electric Systems, 1988 Session.
34 A.J.Gonzalez et al. On-line Diagnosis of Turbine-generator Using Artificial Intelligence. IEEE Trans EC, Vol.1, No.1, pp.68～74, June 1986.
35 Osborne, R.L., Gonzales, A.J., et al. Increased Power Plant Availability and Reliability Through On-line Diagnosis Based on Artificial Intelligence. Proceedings of 45th Annual Meeting of the American Power Conference, Chicago, 1985.
36 W.T. Thomson. Research and Development of On-line Diagnostic Monitoring System for Electrical Machines. IEEE Colloquium on Instrumentation of Rotating Electrical Machines.