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Fault Detection for Gas Turbine Sensors Using I/O Dynamic Linear Models: Methodology of Fault Code Generation FREE

[+] Author Affiliations
R. Bettocchi, P. R. Spina, P. M. Azzoni

Universitá di Ferrara, Ferrara, Italy

Paper No. 96-TA-002, pp. V001T03A002; 9 pages
doi:10.1115/96-TA-002
From:
  • ASME 1996 Turbo Asia Conference
  • ASME 1996 Turbo Asia Conference
  • Jakarta, Indonesia, November 5–7, 1996
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-7877-4
  • Copyright © 1996 by ASME

abstract

This paper presents a methodology of sensor diagnosis which appears to be particularly suitable also for application in the field of small/medium power size industrial gas turbines.

The methodology is based on the Analytical Redundancy technique and uses ARX (Auto Regressive with eXternal input) MISO (Multi-Input/Single-Output) linear dynamic models obtained from time series data of the gas turbine operating condition. The linear models allow the on-line calculation of some measurable parameter starting from the values of other measured parameters. The comparison between computed and measured values of the same parameters allows setting-up a vector of residuals which, if compared with the columns of the fault matrix, permits the identification of a possible sensor fault.

The initial applications of the methodology to a single-shaft industrial gas turbine show an unambiguous and certain detection and isolation of fault in sensors used both in the measurement only and in feedback by the machine control system.

Copyright © 1996 by ASME
This article is only available in the PDF format.

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