期刊文献+

输电网络设备故障诊断专家系统的设计与实现

Design and Realization of Malfunction Diagnosis Expert System for Power Transmission Network Facility
下载PDF
导出
摘要 介绍一套输电网络设备故障诊断专家系统的设计结构,确定诊断系统由故障巡检和故障诊断专家系统组成。在故障诊断的方法中引入了故障树分析,同时将领域专家的经验知识转化为诊断系统的知识,构建采用正向推理机制的诊断系统。 The design composition of malfuction diagnosis expert system of the power transmission network facility is introduced, and it is determined that the diagnosis system is composed of malfuction inspection and malfuction diagnosis expert system. The analysis method of malfuction tree is imported into the method of malfuction diagnosis and accordingly the field expert knowledge is converted into expert system diagnosis knowledge. A diagnosis system with forward reasoning mechanism is also constructed.
作者 李伟
出处 《河北工程技术高等专科学校学报》 2007年第1期13-15,19,共4页 Journal of Hebei Engineering and Technical College Quarterly
关键词 输电网络设备 故障诊断 专家系统 power transmission network facility malfuction diagnosis expert system
  • 相关文献

参考文献4

二级参考文献16

  • 1靳春梅,樊灵,邱阳,段志善.旋转机械故障智能诊断与预报方法综合研究[J].机械,2000,27(z1):21-23. 被引量:6
  • 2王士同.模糊推理理论与模糊专家系统[M].上海:上海科学技术文献出版社,1994..
  • 3张建民.传感器与检测技术[M].北京:机械工业出版社,2000.3.
  • 4SCOTT BUBIN & R. L. KASHYUANP Diagnosing Electronics System by Integrating Models of Normal Abnormal Functioning [M]. Purdue University,W. Lafayette, 1989
  • 5林绕瑞.专家系统原理及实验[M].北京:清华大学出版社,..
  • 6Xu Xiaoli, Han Qiushi, Xu Baojie, et al. A study of the on-line trend predicting technology to the conditions of mechanical equipment[A]. Shi Zhiping. Proceedings of the First International Conference on Mechanical Engineering[C]. Shanghai: International
  • 7Wang K C. Update of an early warning fault detection method using artificial intelligence techniques[J]. IEE Colloquium(Digest), 1997, 50(5):1-5.
  • 8Propes N, Vachtsevanos G. Fuzzy petri net based mode identification algorithm for fault diagnosis of complex systems[A]. Willett P K. System Diagnosis and Prognosis: Security and Condition Monitoring Issues Ⅲ[C]. Orlando, Florida: The International Socie
  • 9Khiripet N. An architecture for intelligent time series prediction with causal information[D]. Georgia, USA: Georgia Institute of Technology, 2001.
  • 10Brenner M J. Non-stationary dynamics data analysis with wavelet-STD filtering[J]. Mechanical Systems and Signal Processing, 2003, 17(4): 765-786.

共引文献48

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