Statistical modeling to determine resonant frequency information present in combustion chamber pressure signals
Bodisco, Timothy A. & Brown, Richard J. (2010) Statistical modeling to determine resonant frequency information present in combustion chamber pressure signals. In Mallinson, G.D. & Cater, J.E. (Eds.) Proceedings of the 17th Australasian Fluid Mechanics Conference, Australasian Fluid Mechanics Society, University of Auckland, pp. 1-4.
A statistical modeling method to accurately determine combustion chamber resonance is proposed and demonstrated. This method utilises Markov-chain Monte Carlo (MCMC) through the use of the Metropolis-Hastings (MH) algorithm to yield a probability density function for the combustion chamber frequency and find the best estimate of the resonant frequency, along with uncertainty. The accurate determination of combustion chamber resonance is then used to investigate various engine phenomena, with appropriate uncertainty, for a range of engine cycles. It is shown that, when operating on various ethanol/diesel fuel combinations, a 20% substitution yields the least amount of inter-cycle variability, in relation to combustion chamber resonance.
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|Item Type:||Conference Paper|
|Keywords:||Statistical Modeling, Combustion Chamber, Internal Combustion Engines, Spectral Analysis, MCMC, In-cyliner Pressure|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
|Copyright Owner:||Copyright 2010 Please consult the authors|
|Deposited On:||15 Oct 2010 09:35|
|Last Modified:||01 Mar 2012 10:05|
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