Online fault diagnosis using recursive subspace identification: Application to a dam-gallery open channel system

被引：21
作者：
Akhenak, A. [1 ,2 ]
Duviella, E. [1 ,2 ]
Bako, L. [1 ,2 ]
Lecoeuche, S. [1 ,2 ]
机构：
[1] Univ Lille Nord France, F-59000 Lille, France
[2] EMDouai, IA, F-59500 Douai, France
来源：
CONTROL ENGINEERING PRACTICE | 2013年 / 21卷 / 06期
关键词：
System identification; Recursive subspace algorithm; Fault detection and isolation; Finite memory observer; Open-channel system; IRRIGATION; TIME;
D O I：
10.1016/j.conengprac.2013.02.013
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper presents an online strategy for sensor and/or actuator fault detection and isolation applied to a dam-gallery. A recursive subspace identification algorithm is used to estimate the dam-gallery model parameters. The main contribution consists in developing a specific identification scheme, insensitive to a certain type of faults. That is, the identified parameters are invariant to the faults. A fault estimation procedure is proposed to detect potential faults. The proposed approach appears to be suitable for open channel systems for which the characteristics are not easily measurable. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码：797 / 806
页数：10
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