Title :
Reliability in the determination of gas turbine operating state
Author :
Spina, Pier Ruggero
Author_Institution :
DIEM, Bologna Univ., Italy
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;
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6638-7
DOI :
10.1109/CDC.2000.914203
