Title :
Detection, isolation, and identification of sensor faults in nuclear power plants
Author :
Dorr, Richard ; Kratz, Frédéric ; Ragot, José ; Loisy, François ; Germain, Jena-Luc
Author_Institution :
Centre de Recherche en Autom. de Nancy, Vandoeuvre, France
fDate :
1/1/1996 12:00:00 AM
Abstract :
This paper presents methods to detect, locate, and identify sensor degradations. The first method is based on simple redundancy and consists in generating residuals by comparison of measurements provided by physically redundant sensors. The second uses analytical redundancy. Residuals are generated by comparing each measurement with an estimate computed from models of the process. The efficiency of each method is evaluated first on a simulated case and then on measurements obtained from a real power plant
Keywords :
computerised monitoring; fault diagnosis; fission reactor monitoring; nuclear engineering computing; nuclear reactor maintenance; power plants; redundancy; sensors; analytical redundancy; faults detection; faults identification; faults isolation; nuclear power plants; physically redundant sensors; residuals generation; sensor faults; Calibration; Degradation; Fault detection; Fault diagnosis; Nuclear measurements; Power generation; Power measurement; Power system modeling; Redundancy; Steady-state;
Journal_Title :
Control Systems Technology, IEEE Transactions on