A more realistic scheme of deviation error representation for gas turbine diagnostics

Igor Loboda, Sergiy Yepifanov, Yakov Feldshteyn

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Gas turbine diagnostic algorithms widely use fault simulation schemes, in which measurement errors are usually given by theoretical random number distributions, like the Gaussian probability density function. The scatter of simulated noise is determined on the basis of known information on maximum errors for every sensor type. Such simulation differs from real diagnosis because instead of measurements themselves the diagnostic algorithms work with their deviations from an engine baseline. In addition to simulated measurement inaccuracy, the deviations computed for real data have other error components. In this way, simulated and real deviation errors differ by amplitude and distribution. As a result, simulation-based investigations might result in too optimistic conclusions on gas turbine diagnosis reliability. To understand error features, deviations of real measurements are analyzed in the present paper. To make error presentation more realistic, it is proposed to extract an error component from real deviations and to integrate it in fault description. Finally, the effect of the new noise representation mode on diagnostic reliability is estimated. It is shown that the reliability change due to inexact error simulation can be significant.
Original languageAmerican English
Pages (from-to)179-189
Number of pages160
JournalInternational Journal of Turbo and Jet Engines
DOIs
StatePublished - 1 Jun 2013

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Gas turbines
Measurement errors
Probability density function
Engines
Sensors

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A more realistic scheme of deviation error representation for gas turbine diagnostics. / Loboda, Igor; Yepifanov, Sergiy; Feldshteyn, Yakov.

In: International Journal of Turbo and Jet Engines, 01.06.2013, p. 179-189.

Research output: Contribution to journalArticle

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