SENSOR FAULT DETECTION IN A REAL HYDRAULIC SYSTEM USING A CLASSIFICATION APPROACH

被引：0

作者：

Le Pocher, Oriane ^{[1
,2
]}

Duviella, Eric ^{[1
,2
]}

Chuquet, Karine ^{[3
]}

机构：

[1] Univ Lille Nord de France, F-59000 Lille, France

[2] EMDouai, IA, F-59500 Douai, France

[3] VNF, Serv Nav Nord Pas de Calais, F-59034 Lille, France

来源：

ICINCO 2011: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL 1 | 2011年

关键词：

Supervision; Fault detection; Classification algorithm; Large scale system; Hydraulic system;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper focuses on the sensor fault detection of a hydraulic channel used for navigation. This system has the particularities to have large scale dimension, without slope, with several inputs and ouputs, and thus difficult to be modelled according to classical modelling methods. For recent years, it was equipped with level sensors in order to have better knowwledge of its behavior, to detect its state online and thus improve its management. However, level sensors are subjected to measurement or transmission errors, setting errors, and quick or slow drifts. In order to detect these sensor errors, a classification approach is proposed. It appears adapted to the fault detection of large scale hydraulic systems without model. The classification approach is used on data measured from 2006 to 2009. The first results and analysis show that the classification method is effective for addressing the problem of sensor fault detection.

引用

页码：382 / 387

页数：6

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