Item
|
Gelso, Esteban Reinaldo
Castillo, Sandra M. Armengol Llobet, Joaquim |
|
| Often practical performance of analytical redundancy for fault detection and diagnosis is decreased by uncertainties prevailing not only in the system model, but also in the measurements. In this paper, the problem of fault detection is stated as a constraint satisfaction problem over continuous domains with a big number of variables and constraints. This problem can be solved using modal interval analysis and consistency techniques. Consistency techniques are then shown to be particularly efficient to check the consistency of the analytical redundancy relations (ARRs), dealing with uncertain measurements and parameters. Through the work presented in this paper, it can be observed that consistency techniques can be used to increase the performance of a robust fault detection tool, which is based on interval arithmetic. The proposed method is illustrated using a nonlinear dynamic model of a hydraulic system | |
| http://hdl.handle.net/2072/59169 | |
| eng | |
| IEEE | |
| Tots els drets reservats | |
|
Anà lisi d’intervals (Matemà tica)
Errors de sistemes (Enginyeria) Sistemes dinà mics diferenciables Differentiable dynamical systems Interval analysis (Mathematics) System failures (Engineering) |
|
| Robust fault detection using consistency techniques for uncertainty handling | |
| info:eu-repo/semantics/article | |
| Recercat |
