Application of Fuzzy Logic for Fault Isolation of Jet EnginesSource: Journal of Engineering for Gas Turbines and Power:;2003:;volume( 125 ):;issue: 003::page 617Author:R. Ganguli
DOI: 10.1115/1.1470481Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: 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.
keyword(s): Measurement , Engines , Fuzzy logic , Uncertainty , Jet engines , Sensors AND Fingerprints ,
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contributor author | R. Ganguli | |
date accessioned | 2017-05-09T00:10:06Z | |
date available | 2017-05-09T00:10:06Z | |
date copyright | July, 2003 | |
date issued | 2003 | |
identifier issn | 1528-8919 | |
identifier other | JETPEZ-26823#617_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/128338 | |
description abstract | 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. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Application of Fuzzy Logic for Fault Isolation of Jet Engines | |
type | Journal Paper | |
journal volume | 125 | |
journal issue | 3 | |
journal title | Journal of Engineering for Gas Turbines and Power | |
identifier doi | 10.1115/1.1470481 | |
journal fristpage | 617 | |
journal lastpage | 623 | |
identifier eissn | 0742-4795 | |
keywords | Measurement | |
keywords | Engines | |
keywords | Fuzzy logic | |
keywords | Uncertainty | |
keywords | Jet engines | |
keywords | Sensors AND Fingerprints | |
tree | Journal of Engineering for Gas Turbines and Power:;2003:;volume( 125 ):;issue: 003 | |
contenttype | Fulltext |