.png){kind=icon}
返回
Fault isolation filter design for linear stochastic systems
.png){kind=icon}
PRE
AI
DOI：10.1016/S0005-1098(99)00079-5.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper is concerned with the problem of detecting and isolating multiple faults by a special structure of the full-order Kalman filter. A new state filtering strategy is developed to detect and isolate multiple faults appearing simultaneously or sequentially in discrete time stochastic systems. Under a fault isolation condition, the proposed method can isolate q simultaneous faults with at least q output measurements. The fault isolation filter generates a reduced output residual vector of dimension q so that its ith component is decoupled from all but the ith fault and so that the effect of plant and state noises is minimized. Necessary and sufficient conditions for stability and convergence of the proposed filter are established. (C) 1999 Elsevier Science Ltd. All rights reserved.
Keyword:
fault detection and isolation
full-order Kalman filter
state feedback decoupling
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
