期刊文献+

电厂燃气轮机热参数故障的监测标准 被引量:3

The Monitoring Standards of Thermal Parameters for Power Plant Gas Turbine
下载PDF
导出
摘要 通过分析上海闸北电厂燃气轮机监测数据发现,1年中大气温度和功率的变化使得热参数监测标准难以选取.为了找出与大气温度变化、功率变化无关的热参数监测标准,从方差入手,采取时间序列模型方差均值方式对运行数据进行了分析.结果表明,用时间序列模型求出的方差基准线不随大气温度变化而变化,采用满负荷工况监测可以显示出现故障时性能变化最大的数据.在有故障发生时,通过时间序列模型求得的各监测数据的方差将会超过警戒线而报警,从而可以起到监测作用. When analyzing the monitoring data of Shanghai Zhadian Gas Turbine Power Plant, it is hard to define the monitoring standardsline of thermal parameters as the atmospheric temperature and power load vary during the whole year. In order to find out the standardsline, which is independent of atmospheric temperature and power load, time series variant level models were applied. The analytic result leads to a confirmed monitoring standard which is not influenced by any change of atmospheric temperature and the full load monitoring can show up the performance deterioration furthest. If some fault happens, consequently the variant line would exceed the alarm monitoring standardsline. Therefore it serves the purpose of inspection and monitoring.
作者 夏迪 王永泓
出处 《上海交通大学学报》 EI CAS CSCD 北大核心 2007年第3期361-365,共5页 Journal of Shanghai Jiaotong University
基金 国家自然科学基金资助项目(50376039)
关键词 燃气轮机 时间序列 热参数 监测标准 gas turbine time series thermal parameters monitoring standard
  • 相关文献

参考文献4

二级参考文献3

共引文献13

同被引文献20

  • 1廖志伟,叶青华,王钢,文福拴.基于GRNN的多故障自适应电力系统故障诊断[J].华南理工大学学报(自然科学版),2005,33(9):6-9. 被引量:30
  • 2仇韬,张清峰,丁艳军,吴占松,张毅,孔亮.PCA在非线性系统传感器故障检测和重构中的应用[J].清华大学学报(自然科学版),2006,46(5):708-711. 被引量:14
  • 3徐涛,王祁.基于小波包的多尺度主元分析在传感器故障诊断中的应用[J].中国电机工程学报,2007,27(9):28-32. 被引量:15
  • 4张冀,王兵树,邸剑,于浩,鲁斌.传感器多故障诊断的信息融合方法研究[J].中国电机工程学报,2007,27(16):104-108. 被引量:23
  • 5Urban L A. Parameter selection for multiple fault diagnostics of gas turbine engines [J]. ASME Journal of Engineering for Power, 1975,101 (2) : 225-230.
  • 6Doel D L. TEMPER A gas-path analysis tool for commercial jet engines [J]. Journal of Engineering for Gas Turbines and Power, 1994,116 (1): 82-89.
  • 7Stamatis A, Mathioudakis K, Smith M, et al. Gas turbine component fault identification by means of adaptive performance modeling [C]//International Gas Turbine and Aeroengine Congress and Exposition. Brussels: ASME, 1990:35-42.
  • 8Zedda M, Singh R. Gas turbine engine and sensor fault diagnosis using optimization techniques [J].Journal of Propulsion and Power, 2002, 18 (5) : 1019-1025.
  • 9Siu C, Shen Q, Milne R. TMDOCTOR: A fuzzy rule-and case-based expert system for turbomachinery diagnosis [C]//Proceedlngs of IFAC Fault Detection, Supervision and Safety for Technical Processes. Kingston, UK: IFAC, 1997:556-563.
  • 10Li Y G. Performance-analysis-based gas turbine diagnostics: A review [J]. Journal of Power and Energy, 2002,216 (5) :363-377.

引证文献3

二级引证文献29

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部