Research Papers

Fully Automated Model-Based Performance Analysis Procedure for On-Line and Off-Line Applications

[+] Author and Article Information
Michael Bauer, Stephan Staudacher

 MTU Aero Engines GmbH, Dachauer Str. 665, Munich 80995, Germany University of Stuttgart, Institute for Aircraft Propulsion Systems (ILA), Stuttgart 70569, Germany

J. Turbomach 130(1), 011007 (Dec 19, 2007) (7 pages) doi:10.1115/1.2720875 History: Received August 18, 2006; Revised September 07, 2006; Published December 19, 2007

The 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.

Copyright © 2008 by American Society of Mechanical Engineers
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Figure 6

Typical deviations between measurement and expectation

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Figure 7

Automatic use of a valid ANSYN scheme

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Figure 9

On-line visualization of calculated data

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Figure 1

Application of performance analysis procedures

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Figure 2

Module arrangement for a given engine configuration

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Figure 3

General arrangement of a two-spool mixed-flow afterburner turbofan engine including typical instrumentation

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Figure 4

Coarse filter and fine filter

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Figure 5

Measurement check and determination of estimation values

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Figure 8

Test-bed integration

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Figure 10

Detection of a measurement fault

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Figure 11

Measurement check during an engine acceleration

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Figure 12

On-line visualization of derived modifiers



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