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采样数据系统的故障检测
引用本文:张萍,DING Steven X,王桂增,周东华. 采样数据系统的故障检测[J]. 自动化学报, 2003, 29(2): 306-311
作者姓名:张萍  DING Steven X  王桂增  周东华
作者单位:1.清华大学自动化系,北京;
基金项目:国家自然科学基金 (6 9874 0 2 3),DAAD,国家教育部基金 (2 0 0 2 0 0 0 30 6 3)资助~~
摘    要:研究了采样数据系统的故障检测问题.关键在于通过引入算子来分别描述连续时间的未知输入信号和故障信号对离散时间的残差信号的影响,从而把鲁棒性和灵敏度问题定义为一个优化问题,并给出了相应的解.仿真例子验证了该方法的有效性.

关 键 词:故障检测   采样数据系统   残差产生   鲁棒性   灵敏度
收稿时间:2001-07-18
修稿时间:2001-07-18

Fault Detection for Sampled-Data Systems
DING Steven X. Fault Detection for Sampled-Data Systems[J]. Acta Automatica Sinica, 2003, 29(2): 306-311
Authors:DING Steven X
Affiliation:1.Department of Automation,Tsinghua University,Beijing;University of Duisburg,Duisburg,Germany
Abstract:The fault detection problem in sampled data systems is studied. The key point is to introduce operators to describe the influence of the continuous time unknown input signal and fault signal on the discrete time residual signal, respectively. Based on this, the robustness and sensitivity problem can be defined as an optimization problem and the corresponding solution is derived. The simulation results illustrate the effectiveness of the proposed approach.
Keywords:Fault detection   sampled data system   residual generation   robustness   sensitivity  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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