Name
Abstract | ||
|---|---|---|
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. |
Year | Venue | Keywords |
|---|---|---|
2011 | ICINCO 2011: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL 1 | Supervision, Fault detection, Classification algorithm, Large scale system, Hydraulic system |
Field | DocType | Citations |
Hydraulic machinery,Fault detection and isolation,Control engineering,Engineering | Conference | 1 |
PageRank | References | Authors |
0.39 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oriane Le Pocher | 1 | 1 | 0.39 |
| Eric Duviella | 2 | 23 | 11.69 |
| Karine Chuquet | 3 | 4 | 2.39 |