文件名称:PEM
介绍说明--下载内容来自于网络,使用问题请自行百度
Robust fault diagnosis of proton exchange membrane fuel cells using a Takagi-Sugeno interval observer approach(In this paper, the problem of robust fault diagnosis of proton exchange membrane (PEM)
fuel cells is addressed by introducing the Takagi-Sugeno (TS) interval observers that
consider uncertainty in a bounded context, adapting TS observers to the so-called interval
approach. Design conditions for the TS interval observer based on regional pole
placement are also introduced to guarantee the fault detection and isolation (FDI)
performance. The fault detection test is based on checking the consistency between the
measurements and the output estimations provided by the TS observers. In presence of
bounded uncertainty, this check relies on determining if all the measurements lie inside
their corresponding estimated interval bounds. When a fault is detected, the
measurements that are inconsistent with their corresponding estimations are annotated
and a fault isolation procedure is triggered.)
fuel cells is addressed by introducing the Takagi-Sugeno (TS) interval observers that
consider uncertainty in a bounded context, adapting TS observers to the so-called interval
approach. Design conditions for the TS interval observer based on regional pole
placement are also introduced to guarantee the fault detection and isolation (FDI)
performance. The fault detection test is based on checking the consistency between the
measurements and the output estimations provided by the TS observers. In presence of
bounded uncertainty, this check relies on determining if all the measurements lie inside
their corresponding estimated interval bounds. When a fault is detected, the
measurements that are inconsistent with their corresponding estimations are annotated
and a fault isolation procedure is triggered.)
相关搜索: pem
fault diagnosis
(系统自动生成,下载前可以参看下载内容)
下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
Robust fault diagnosis Robust fault diagnosis of proton exchange membrane fuel cells using a Takagi-Sugeno interval observer approach.pdf | 1005894 | 2018-03-11 |
本网站为编程资源及源代码搜集、介绍的搜索网站,版权归原作者所有! 粤ICP备11031372号
1999-2046 搜珍网 All Rights Reserved.