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

Volume

5

Issue

1

fYear

1996

fDate

1/1/1996 12:00:00 AM

Firstpage

42

Lastpage

60

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;

fLanguage

English

Journal_Title

Control Systems Technology, IEEE Transactions on

Publisher

ieee

ISSN

1063-6536

Type

jour

DOI

10.1109/87.553664

Filename

553664