Bayesian models for the determination of resonant frequencies in a DI diesel engine
| Data(s) |
2011
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|---|---|
| Resumo |
A time series method for the determination of combustion chamber resonant frequencies is outlined. This technique employs the use of Markov-chain Monte Carlo (MCMC) to infer parameters in a chosen model of the data. The development of the model is included and the resonant frequency is characterised as a function of time. Potential applications for cycle-by-cycle analysis are discussed and the bulk temperature of the gas and the trapped mass in the combustion chamber are evaluated as a function of time from resonant frequency information. |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
Elsevier |
| Relação |
http://eprints.qut.edu.au/46525/1/Bodisco_et_al_-_MSSP_2011_-_Bayesian_Models.pdf DOI:10.1016/j.ymssp.2011.06.014 Bodisco, Timothy A., Reeves, Robert W., Situ, Rong, & Brown, Richard J. (2011) Bayesian models for the determination of resonant frequencies in a DI diesel engine. Mechanical Systems and Signal Processing, 26, pp. 305-314. |
| Direitos |
2011 Copyright Elsevier Ltd. NOTICE: this is the author’s version of a work that was accepted for publication in Mechanical Systems and Signal Processing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Mechanical Systems and Signal Processing (in press) DOI 10.1016/j.ymssp.2011.06.014 |
| Fonte |
School of Curriculum; Faculty of Built Environment and Engineering; Faculty of Science and Technology; School of Engineering Systems |
| Palavras-Chave | #090500 CIVIL ENGINEERING #091300 MECHANICAL ENGINEERING #091500 INTERDISCIPLINARY ENGINEERING #Resonant Frequency #MCMC #Inter-cycle Variability #Statistical Inference |
| Tipo |
Journal Article |
