Reliability in the determination of gas turbine operating state

Author

Spina, Pier Ruggero

Author_Institution

DIEM, Bologna Univ., Italy

Volume

3

fYear

2000

fDate

2000

Firstpage

2639

Abstract

This paper analyzes the problems which arise using gas turbine health monitoring systems, and proposes a method of improving the reliability in gas turbine health determination. The method involves the following main steps: an analysis to evaluate the best measurement/parameter combination, in terms of accuracy in gas turbine health determination; and the submission of measurements to sensor fault detection and isolation analyses, before they are used as input by the health monitoring system, in order to verify if there are measurements affected by errors due to faulty sensors. Three FDI techniques are developed and compared: for the residual generation, parity equations, dynamic observers or Kalman filters, respectively

Keywords

Kalman filters; computerised monitoring; fault diagnosis; gas turbines; mechanical engineering computing; observers; reliability; sensors; Kalman filters; dynamic observers; fault detection; fault diagnosis; fault isolation; gas turbine; health monitoring systems; monitoring; parity; reliability; residual generation; Condition monitoring; Electric variables measurement; Fault detection; Fluid flow measurement; Gas detectors; Power measurement; Pressure measurement; Sensor systems; Time measurement; Turbines;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2000. Proceedings of the 39th IEEE Conference on

Conference_Location

Sydney, NSW

ISSN

0191-2216

Print_ISBN

0-7803-6638-7

Type

conf

DOI

10.1109/CDC.2000.914203

Filename

914203