Name
Abstract | ||
|---|---|---|
This paper proposes a framework for Fault Detection FD in linear systems developed in the context of systems invertibility. It deals with issues of actuator fault, so a diesel engine is introduced as a benchmark for model-based fault detection. The purpose is to provide a simple, industrial system as a platform for a new formulation of linear system diagnosis problem. FD performance specifications are provided. They include conditions for detection probability. Using the diesel engine model presented by two subsystems: the process subsystem and the actuator subsystem, simulations and experimental results show the advantages of the FD scheme observer based. |
Year | Venue | Keywords |
|---|---|---|
2014 | Simulation and Modeling Methodologies, Technologies and Applications | actuator subsystem,diesel engine,fault detection,invertible system,observer |
Field | DocType | Citations |
Linear system,Control theory,Industrial systems,Computer science,Fault detection and isolation,Control engineering,Diesel engine,Observer (quantum physics),Actuator fault,Actuator | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sallem, F. | 1 | 0 | 0.34 |
| Boutaieb Dahhou | 2 | 21 | 8.60 |
| Zetao Li | 3 | 7 | 2.79 |
| Kamoun, A. | 4 | 0 | 0.34 |