期刊文献+

双线性系统BFDF故障诊断 被引量:2

Fault Diagnosis of Bilinear System BFDF
下载PDF
导出
摘要 故障诊断技术是系统和控制研究的一个重要领域,在航空航天、核反应堆、热电厂、机械、化工等一系列工程技术领域得到了成功的应用。应用双线性系统故障检测滤波器(BFDF)方法,对带有未知输入的双线性系统进行了故障检测,给出了BFDF存在的充分条件和设计BFDF的具体步骤。同时,与双线性系统故障观测器(BFDO)方法进行了比较。相比之下,BFDF方法具有结构简单,设计步骤明确等优点,由BFDF产生的残差向量对未知输入具有较强的鲁棒性,对执行器、元件和传感器故障都非常敏感,残差向量对不同的故障具有不同的方向,易于故障隔离。 Technology is an important field in which system and control study that the trouble is diagnosed, application succeeding in such a series of engineering fields as Acre-Space, nuclear reactor, heat and power plant, machinery, chemical industry, etc. Use one pair of linear systematic troubles to measure the method of the wave filter (BFDF), measure the trouble to the pair of linear systems with unknown introduction, provide the abundant condition that BFDF exists and concrete step of designing BFDF. Meanwhile, compared with the method of the observing device of one pair of linear systematic troubles (BFDO). By contrast, BFDF method is of simple structure, design the advantage such as being clear of the step, it is stupid and excellent that the incomplete difference vector quantity produced from BFDF has the stronger one to unknown introduction, to the carrying out device, the component and sensor trouble are all very sensitive, the vector quantity of incomplete difference has different directions to different troubles, the easy trouble is isolated.
作者 汪海 张玉杰
出处 《微计算机信息》 北大核心 2006年第05S期226-228,共3页 Control & Automation
关键词 双线性系统 未知输入 残差 观测器 故障检测 滤波器 bilinear system unknown input residual observer-based fault detection
  • 相关文献

参考文献2

二级参考文献4

  • 1Li Ma, Tieniu Tan, Yunhong Wang. Local intensityvariation analysis for iris recognition. Pattern Recognition 37 (2004) 1287-1298.
  • 2Najman L,Schmitt M. Geodesic saliency of water-shed contours and hierarchical segmentation[J] . IEEE Transaction on Pattern Analysis and Analysis and Machine Intelligence, 1998,18(12):1163-1173.
  • 3[美]RafaelC GonzalezRichardE.Woods数字图像处理[M].电子工业出版社,2003年3月第一版..
  • 4John Daugman. The importance of being random: statistical principles of iris recognition. Pattern Recognition 36 (2003) 279-291.

共引文献5

同被引文献7

引证文献2

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