基于平均空间的故障检测与诊断
FAULT DETECTION AND DIAGNOSIS BASED ON MEAN SPACE
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摘要: 本文针对故障检测与诊断中存在系统不确定性问题，应用空间近似法提出一种直接求取残差增益使残差与系统不确定性最大限度解耦的方法，并提出区分执行机构故障和传感器故障的方法，最后给出了仿真结果，仿真证明该方法具有计算量小、检测诊断可靠等特点．Abstract: The paper presents a problem of how to decouple system uncertainty with residual and how to distinguish sensor failure from executor failure.Residual gain matrix can be obtained by means of mean space.At last,simulation results are given.
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