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Application of Fuzzy Logic for Fault Isolation of Jet Engines

Ganguli, R (2003) Application of Fuzzy Logic for Fault Isolation of Jet Engines. In: Journal of Engineering for Gas Turbines and Power, 125 (3). pp. 617-623.

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A fuzzy logic system is developed for gas turbine module fault isolation. Inputs to the fuzzy logic system are measurement deviations of gas path parameters from a "good" baseline engine. The gas path measurements used are exhaust gas temperature, low and high rotor speed, and fuel flow. These sensor measurements are available on most jet engines. The fuzzy logic system uses rules developed from performance influence coefficients to isolate the module fault while accounting for uncertainty in the gas path measurements. Tests with simulated data show the fuzzy system isolates module faults with accuracy of over 95%. In addition, the fuzzy logic system shows good performance even with poor quality data. Additional pressure and temperature measurements between the compressor and before the burner help to increase the accuracy of fault isolation at high levels of uncertainty and when modeling assumptions weaken.

Item Type: Journal Article
Publication: Journal of Engineering for Gas Turbines and Power
Publisher: American Society of Mechanical Engineers
Additional Information: Copyright of this article belongs to American Society of Mechanical Engineers.
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited: 22 Jun 2006
Last Modified: 19 Sep 2010 04:29
URI: http://eprints.iisc.ac.in/id/eprint/7666

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