Three-spool turbofan pass-off test data analysis using an optimization-based diagnostic technique

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dc.contributor.authorSaias, Chana Anna
dc.contributor.authorPellegrini, Alvise
dc.contributor.authorBrown, Stephen
dc.contributor.authorPachidis, Vassilios
dc.date.accessioned2021-04-28T14:15:12Z
dc.date.available2021-04-28T14:15:12Z
dc.date.issued2021-04-15
dc.description.abstractProduction engine pass-off testing is a compulsory technique adopted to ensure that each engine meets the required performance criteria before entering into service. Gas turbine performance analysis greatly supports this process and substantial economic benefits can be achieved if an effective and efficient analysis is attained. This paper presents the use of an integrated method to enable engine health assessment using real pass-off test data of production engines obtained over a year. The proposed method is based on a well-established diagnostic technique enhanced for a highly-complex problem of a three-spool turbofan engine. It makes use of a modified optimization algorithm for the evaluation of the overall engine performance in the presence of component degradation, as well as, sensor noise and bias. The developed method is validated using simulated data extracted from a representative adapted engine performance model. The results demonstrate that the method is successful for 82% of the fault scenarios considered. Next, the pass-off test data are analyzed in two stages. Initially, correlation and trend analyses are conducted using the available measurements to obtain diagnostic information from the raw data. Subsequently, the method is utilized to predict the condition of 264 production turbofan engines undergoing a compulsory pass-off testen_UK
dc.identifier.citationSaias CA, Pellegrini A, Brown S, Pachidis V. (2021) Three-spool turbofan pass-off test data analysis using an optimization-based diagnostic technique. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, Volume 235, Issue 6, September 2021, pp. 1577-1591en_UK
dc.identifier.issn0957-6509
dc.identifier.urihttps://doi.org/10.1177/09576509211002311
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/16625
dc.language.isoenen_UK
dc.publisherSageen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectgas turbine performanceen_UK
dc.subjectengine testingen_UK
dc.subjectengine performanceen_UK
dc.subjectEngine modelling/simulationen_UK
dc.titleThree-spool turbofan pass-off test data analysis using an optimization-based diagnostic techniqueen_UK
dc.typeArticleen_UK

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