A unique fault detection and identification algorithm using measurements for engine control use is presented. The algorithm detects an engine fault and identifies the associated component, using a gas path analysis technique with a detailed nonlinear engine model. The algorithm is intended to detect steplike changes in component performance rather than gradual change of all components. Component performance deviation (efficiency and flow rate) is represented by a magnitude and a phase. The phase is selected to minimize the error of evaluation matrices. Then the magnitude is computed. By utilizing operational data of the IM270 engine, the compressor and the turbine performance deviation was quantitatively identified.
Fault Detection and Identification in an IM270 Gas Turbine Using Measurements for Engine Control
Contributed by the International Gas Turbine Institute (IGTI) of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS for publication in the ASME JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Paper presented at the International Gas Turbine and Aeroengine Congress and Exhibition, Atlanta, GA, June 16–19, 2003, Paper No. 2003-GT-38378. Manuscript received by IGTI, October 2002, final revision, March 2003. Associate Editor: H. R. Simmons.
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Kurosaki , M., Morioka , T., Ebina , K., Maruyama , M., Yasuda , T., and Endoh, M. (November 24, 2004). "Fault Detection and Identification in an IM270 Gas Turbine Using Measurements for Engine Control ." ASME. J. Eng. Gas Turbines Power. October 2004; 126(4): 726–732. https://doi.org/10.1115/1.1787515
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