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contributor authorMichael Bauer
contributor authorStephan Staudacher
date accessioned2017-05-09T00:30:54Z
date available2017-05-09T00:30:54Z
date copyrightJanuary, 2008
date issued2008
identifier issn0889-504X
identifier otherJOTUEI-28743#011007_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/139533
description abstractThe development of modern gas turbines is accompanied by an extensive prototype testing. To evaluate performance, the engines are fitted with a substantial number of sensors measuring pressures, temperatures, shaft speeds, etc. The test data are analyzed by procedures calculating data that are not directly measured, e.g., component efficiencies and turbine temperatures. Engine manufacturers usually apply such procedures for a detailed analysis after the test (off-line) as well as to ensure a safe and efficient engine operation during the test (on-line). Especially for the latter application, a fast and reliable assessment of the performance of the engine and its components as well as a fast and reliable detection of measurement faults are required. The paper describes a fully automated performance analysis procedure for off-line as well as on-line applications. The basis of the procedure is a full thermodynamic model representing the expected behavior of the engine to be tested. By such a model-based analysis procedure, a comparison between test data and the expected engine behavior is performed. The way the comparison is done allows detecting and isolating measurement faults and component malfunctions. In case of a detected measurement fault, the measurement will be excluded automatically from the analysis. At MTU Aero Engines GmbH the procedure is regularly applied for on-line and off-line test data analysis of different engine types. Compared to the procedures used thus far, many measurement faults can be detected quickly and reliably.
publisherThe American Society of Mechanical Engineers (ASME)
titleFully Automated Model-Based Performance Analysis Procedure for On-Line and Off-Line Applications
typeJournal Paper
journal volume130
journal issue1
journal titleJournal of Turbomachinery
identifier doi10.1115/1.2720875
journal fristpage11007
identifier eissn1528-8900
keywordsEngines
keywordsMeasurement
keywordsTemperature
keywordsAlgorithms AND Sensors
treeJournal of Turbomachinery:;2008:;volume( 130 ):;issue: 001
contenttypeFulltext


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