Bayesian models for the determination of resonant frequencies in a DI diesel engine

Bodisco, Timothy, Reeves, Robert, Situ, Rong, and Brown, Richard (2012) Bayesian models for the determination of resonant frequencies in a DI diesel engine. Mechanical Systems and Signal Processing, 26. pp. 305-314.

PDF (Submitted Version) - Submitted Version
Download (1MB)
[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website:


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.

Item ID: 19692
Item Type: Article (Research - C1)
ISSN: 1096-1216
Keywords: resonant frequency, MCMC, inter-cycle variability, statistical Inference
Funders: Australian Research Council
Projects and Grants: Australian Research Council Linkage Grant (LP0775178)
Date Deposited: 30 Jan 2012 01:23
FoR Codes: 09 ENGINEERING > 0915 Interdisciplinary Engineering > 091599 Interdisciplinary Engineering not elsewhere classified @ 50%
09 ENGINEERING > 0913 Mechanical Engineering > 091399 Mechanical Engineering not elsewhere classified @ 50%
SEO Codes: 85 ENERGY > 8507 Energy Conservation and Efficiency > 850799 Energy Conservation and Efficiency not elsewhere classified @ 100%
Downloads: Total: 1227
Last 12 Months: 7
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page