旋转机械故障数据库与故障精密诊断系统开发
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摘要
在对各类汽轮机组故障进行收集、统计分析的基础上，针对火电厂汽轮机组的故障特点，介绍了几种典型故障，并进行了故障诊断方法及诊断系统研究，同时开发了电厂历史振动故障数据库。工作的主要内容有：
1、研究了故障的模糊诊断方法，以阈值和最大隶属度为判断准则构建了模糊综合诊断模型和模糊分层诊断模型，对故障信号进行诊断。
2、收集大量国内电厂各种汽轮机组的故障实例，建立了历史故障数据库，将它们的故障特征等信息收入到库，为现场人员提供解决故障的实际依据，同时作为模块嵌入到精密诊断系统中，丰富了系统的诊断功能。
3、针对火电厂汽轮机组开发了精密诊断系统。
Based on collection and statistics of the fault-cases of turbines in power plant, the main faults were introduced. Meanwhile, fault diagnosis method and system were studied. And a database of history fault-cases in power plant was developed. The major contents of the paper were as follows:
1 Fuzzy method for the fault diagnosis was researched. The fuzzy diagnosis model and the multiple-layer fuzzy model based on threshold and maximum rules for fuzzy diagnosis were built.
2 The typical fault-cases of rotating machines in power plants were collected. The fault-cases database was developed. It included a lot of information characteristics for the fault and could provide failure solution for operators. The Database was embedded in diagnosis system as a function model.
3 Precision diagnosis system was developed for rotating machines with strong analysis functions for data processing.
Yu Hongli (Mechatronic engineering) Directed by prof. Liu Yibing
1、研究了故障的模糊诊断方法，以阈值和最大隶属度为判断准则构建了模糊综合诊断模型和模糊分层诊断模型，对故障信号进行诊断。
2、收集大量国内电厂各种汽轮机组的故障实例，建立了历史故障数据库，将它们的故障特征等信息收入到库，为现场人员提供解决故障的实际依据，同时作为模块嵌入到精密诊断系统中，丰富了系统的诊断功能。
3、针对火电厂汽轮机组开发了精密诊断系统。
Based on collection and statistics of the fault-cases of turbines in power plant, the main faults were introduced. Meanwhile, fault diagnosis method and system were studied. And a database of history fault-cases in power plant was developed. The major contents of the paper were as follows:
1 Fuzzy method for the fault diagnosis was researched. The fuzzy diagnosis model and the multiple-layer fuzzy model based on threshold and maximum rules for fuzzy diagnosis were built.
2 The typical fault-cases of rotating machines in power plants were collected. The fault-cases database was developed. It included a lot of information characteristics for the fault and could provide failure solution for operators. The Database was embedded in diagnosis system as a function model.
3 Precision diagnosis system was developed for rotating machines with strong analysis functions for data processing.
Yu Hongli (Mechatronic engineering) Directed by prof. Liu Yibing
引文
[1] 盛兆顺，尹琦岭．设备状态监测与故障诊断技术及应用．化学工业出版社．2003，6
[2] 沈庆根．化工机器故障诊断技术．浙江大学出版社，1994，12
[3] 李国华，张永忠．机械故障诊断．化学工业出版社．1999，2
[4] 王江萍．机械设备故障诊断技术及应用．西北工业大写出版设．2001，8
[5] 黄长艺，严普强．机械工程测试技术基础．机械工业出版社．2000，1
[6] 谢诞梅，王建梅，蔡建国等．汽轮发电机组转子机械故障模糊诊断系统研究与开发．武汉水利电力大学学报．1999，12 Vol．32 No．6
[7] 吴今培，肖健华．智能故障诊断与专家系统．科学出版社．1997，9
[8] 高金吉．设备诊断工程的新进展—实时监测网路和人工智能诊断．振动工程学．报(增刊)：机械设备故障诊断专辑．2000，10 Vol．13 NO．S
[9] 高金吉．高速涡轮机械振动故障机理及诊断方法研究：[博士学位论文]．北京：清华大学，1993
[10] 高金吉．旋转机械同频振动故障机理及识别．振动与冲击，1993
[11] 高金吉．旋转机械振动故障原因及识别特征研究．振动、测试与诊断，1995
[12] 高金吉．设备诊断工程与集散监测系统．石油化工设备技术．1996；17(3)：11-14
[13] 高金吉．基于矩阵判别筛选法的机械故障诊断专家系统．第五届全国机械设备故障诊断学术会议论文集，北京：科学技术文献出版社，1996：11-15
[14] Gao Jinji. A fault diagnosis and maintenance expert system for rotating machinery. In: EVROMAIN-TENANCE 98 Proceeding, 1998
[15] 晏砺堂，朱梓根，李其汉．高速旋转机械振动．国防工业出版社．1994，8
[16] 能源部电力行业机炉电标准技术委员会．大容量火力发电机组技术经验质量事故汇编．1989，6
[17] 施维新．汽轮发电机组振动及事故．中国电力出版社．1999．1
[18] 陆颂元．汽轮发电机组振动．中国电力出版社．2003．6
[19] 中国华东电力集团公司科学技术委员会．600MW火电机组运行技术丛书汽轮机分册．2003．9
[20] 四川省电力工业局，四川省电力教育协会．汽轮机事故分析及事故预防．2000．10
[21] 柳亦兵，杨昆．大型汽轮发电机组起动停机振动特性测量分析．振动工程学报．Vol．13 No．S，2000 p404-p410
[22] Liu Yibing, Sudmersen U, Reimche U. Vibration Diagnostics at Turbines in Operation an Example of Failure Root Cause Analysis. ACSIM 2000 int. proc. of System Integrity and Maintenance. 2000. 8
[23] Sudmersen U, Pietsch O, Liu Y, Reimche W, Stegemann D. Advanced Condition Monitoring of Power Plants by Vibration Analysis. CETIM 98, Acoustical and vibratory surveillance methods and techniques. 1998．1
[24] 袁鹏飞，孙军安．中文版SQL Server2000数据库系统管理．人民邮电出版社．2001．5
[25] 尹立民．Delphi 6 数据库开发典型实例．电子工业出版社．
[26] 刘海涛，童英．Deiphi 5．0因特网与数据库程序设计．清华大学出版社．2001．8
[27] 鲁宗相，Delphi6入门与提高，清华大学出版社，2001年7月
[28] 阮跃，徐世昌，黄文虎．旋转机械振动故障的动态模糊诊断．发电设备．1999，5
[29] 张彼德，李明，郑高．汽轮发电机组振动多故障的分层模糊诊断模型．汽轮机技术．2003，10
[2] 沈庆根．化工机器故障诊断技术．浙江大学出版社，1994，12
[3] 李国华，张永忠．机械故障诊断．化学工业出版社．1999，2
[4] 王江萍．机械设备故障诊断技术及应用．西北工业大写出版设．2001，8
[5] 黄长艺，严普强．机械工程测试技术基础．机械工业出版社．2000，1
[6] 谢诞梅，王建梅，蔡建国等．汽轮发电机组转子机械故障模糊诊断系统研究与开发．武汉水利电力大学学报．1999，12 Vol．32 No．6
[7] 吴今培，肖健华．智能故障诊断与专家系统．科学出版社．1997，9
[8] 高金吉．设备诊断工程的新进展—实时监测网路和人工智能诊断．振动工程学．报(增刊)：机械设备故障诊断专辑．2000，10 Vol．13 NO．S
[9] 高金吉．高速涡轮机械振动故障机理及诊断方法研究：[博士学位论文]．北京：清华大学，1993
[10] 高金吉．旋转机械同频振动故障机理及识别．振动与冲击，1993
[11] 高金吉．旋转机械振动故障原因及识别特征研究．振动、测试与诊断，1995
[12] 高金吉．设备诊断工程与集散监测系统．石油化工设备技术．1996；17(3)：11-14
[13] 高金吉．基于矩阵判别筛选法的机械故障诊断专家系统．第五届全国机械设备故障诊断学术会议论文集，北京：科学技术文献出版社，1996：11-15
[14] Gao Jinji. A fault diagnosis and maintenance expert system for rotating machinery. In: EVROMAIN-TENANCE 98 Proceeding, 1998
[15] 晏砺堂，朱梓根，李其汉．高速旋转机械振动．国防工业出版社．1994，8
[16] 能源部电力行业机炉电标准技术委员会．大容量火力发电机组技术经验质量事故汇编．1989，6
[17] 施维新．汽轮发电机组振动及事故．中国电力出版社．1999．1
[18] 陆颂元．汽轮发电机组振动．中国电力出版社．2003．6
[19] 中国华东电力集团公司科学技术委员会．600MW火电机组运行技术丛书汽轮机分册．2003．9
[20] 四川省电力工业局，四川省电力教育协会．汽轮机事故分析及事故预防．2000．10
[21] 柳亦兵，杨昆．大型汽轮发电机组起动停机振动特性测量分析．振动工程学报．Vol．13 No．S，2000 p404-p410
[22] Liu Yibing, Sudmersen U, Reimche U. Vibration Diagnostics at Turbines in Operation an Example of Failure Root Cause Analysis. ACSIM 2000 int. proc. of System Integrity and Maintenance. 2000. 8
[23] Sudmersen U, Pietsch O, Liu Y, Reimche W, Stegemann D. Advanced Condition Monitoring of Power Plants by Vibration Analysis. CETIM 98, Acoustical and vibratory surveillance methods and techniques. 1998．1
[24] 袁鹏飞，孙军安．中文版SQL Server2000数据库系统管理．人民邮电出版社．2001．5
[25] 尹立民．Delphi 6 数据库开发典型实例．电子工业出版社．
[26] 刘海涛，童英．Deiphi 5．0因特网与数据库程序设计．清华大学出版社．2001．8
[27] 鲁宗相，Delphi6入门与提高，清华大学出版社，2001年7月
[28] 阮跃，徐世昌，黄文虎．旋转机械振动故障的动态模糊诊断．发电设备．1999，5
[29] 张彼德，李明，郑高．汽轮发电机组振动多故障的分层模糊诊断模型．汽轮机技术．2003，10