Name
Abstract | ||
|---|---|---|
Fault detection (FD) is the process of monitoring a system to identify any malfunction occurring in the system. In model based fault detection, a state estimator or observer is usually designed in order to provide an estimated output which is compared with the measured output and evaluated with a decision making algorithm to identify a fault. In this paper, a new approach for fault detection is proposed based on the design of an output observer, instead of a state observer, using an input/output system representation. The proposed output observer is employed to estimate the output of the system only in order to generate a set of residuals that are indicative of the presence of a fault. The convergence of the observer is proven for any initial condition and a fault detectability condition is set. This FD scheme is validated by simulating a model of a three wheels robot. |
Year | Venue | Field |
|---|---|---|
2016 | 2016 IEEE 14TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN) | Stuck-at fault,Convergence (routing),State observer,Linear system,Fault detection and isolation,Control theory,Real-time computing,Initial value problem,Engineering,Observer (quantum physics),Mobile robot |
DocType | ISSN | Citations |
Conference | 1935-4576 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lamine Mohamadi | 1 | 0 | 0.34 |
| Xuewu Dai | 2 | 168 | 22.17 |
| Busawon | 3 | 82 | 22.19 |
| M. Djemaϊ | 4 | 69 | 16.61 |