Preliminary Study of Fuel Injector Monitoring System by I-KazTM Multilevel Analysis
Fuel injector in automotive engine is a very important component in injecting the correct amount of fuel into the combustion chamber. The injection system need to be in a very safe and optimum condition during the engine operation. The mulfunction of the injection system can be avoided if the curren...
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Veröffentlicht in: | Applied Mechanics and Materials 2013-12, Vol.471 (Noise, Vibration and Comfort), p.229-234 |
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Sprache: | eng |
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Zusammenfassung: | Fuel injector in automotive engine is a very important component in injecting the correct amount of fuel into the combustion chamber. The injection system need to be in a very safe and optimum condition during the engine operation. The mulfunction of the injection system can be avoided if the current working condition is known and a proper maintenence procedure is implemented. This paper proposes the development of a fuel injector monitoring method using strain signals captured by a single-channel strain gage attached on the fuel injector body. The fuel injector was operated under three main sets of parameters; pulse width (ms), frequency (Hz) and pressure (bar) which were varried from 5 ms to 15 ms, 17 Hz to 25 Hz and 10 bar to 70 bar respectively. The settings produce 27 different engine operations and the strain signal will be captured at each operation. The captured strain signals will be analyzed using I-kazTM Multilevel technique and will be correlated with the main parameters. The relationship between the I-kazTM Multilevel coefficient and the main parameters indicate good correlations which can be used as the guidance for fuel injector monitoring during actual operation. The I-kaz Multilevel technique was found to be very suitable in this study since it is capable of showing consistence pattern change at every parameter change during the engine operation. This monitoring system has a big potential to be developed and improved for the optimization of fuel injector system performance in the automotive industry. |
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ISSN: | 1660-9336 1662-7482 1662-7482 |
DOI: | 10.4028/www.scientific.net/AMM.471.229 |