Fault Detection and Isolation Based on Dynamic Observers Applied to Gas Turbine Control Sensors PUBLIC ACCESS

[+] Author Affiliations
S. Simani, P. R. Spina, S. Beghelli, R. Bettocchi, C. Fantuzzi

Università di Ferrara, Ferrara, Italy

Paper No. 98-GT-158, pp. V005T15A014; 11 pages
  • ASME 1998 International Gas Turbine and Aeroengine Congress and Exhibition
  • Volume 5: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education
  • Stockholm, Sweden, June 2–5, 1998
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-7866-8
  • Copyright © 1998 by ASME


In order to prevent machine malfunctions and to determine the machine operating state, it is necessary to use correct measurements from actual system inputs and outputs. This requires the use of techniques for the detection and isolation of sensor faults.

In this paper an approach based on analytical redundancy which uses dynamic observers is suggested to solve the sensor fault detection and isolation problem for a single-shaft industrial gas turbine. The proposed technique requires the generation of classical residual functions obtained with different observer configurations. The diagnosis is performed by checking fluctuations of these residuals caused by faults.

Copyright © 1998 by ASME
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