.png){kind=icon}
返回
Observer gain effect in linear interval observer-based fault detection
.png){kind=icon}
PRE
AI
DOI：10.1016/j.jprocont.2010.06.017.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
An interval observer has been shown to be a suitable passive robust strategy to generate an adaptive threshold to be used in residual evaluation when model uncertainty is located in parameters (interval model). In such an approach, the observer gain plays an important role since it determines the minimum detectable fault for a given type of fault and allows enhancing the observer fault detection properties. The aim of this paper is to analyze the influence of the observer gain on the time evolution of the residual sensitivity to a fault. Thereby, as a result of this sensitivity study, the minimum detectable fault time evolution for a given type of fault and the interval observer fault detection performance could be determined. In particular, three types of faults according to their detectability time evolution are introduced: permanently (strongly) detected, non-permanently (weakly) detected or just non-detected. An example based on a mineral grinding-classification process is used to illustrate the results derived. (C) 2010 Elsevier Ltd. All rights reserved.
Keyword:
Fault detection
Fault diagnosis
Robustness
Observers
Intervals
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。
期刊
IF:
3.9
论文数:
3.5K
被引数:
7.3K
机构
引用论文
A complete procedure for residual generation and evaluation with application to a heat exchanger
PREAI
分享收藏CELLULOSE MODIFIED WITH CITRIC ACID AND ITS ABSORPTION OF Pb<sup>2+</sup> and Cd<sup>2+</sup> IONS
OAAI
OAAI分享收藏Dynamic threshold generators for robust fault detection in linear systems with parameter uncertainty.png)
AUTOMATICA
AUTOMATICAIF5.9
PREAI
分享收藏Growth inhibition of transformed cells correlates with their junctional communication with normal cellsCell
CellIF0
PREAI
分享收藏分享收藏
查看更多内容