Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
560711 | Mechanical Systems and Signal Processing | 2012 | 10 Pages |
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.
► Propose the use of Bayesian statistics in engine research. ► Demonstrate Bayesian model development to analyse in-cylinder pressure signals. ► Locate the resonant frequency of in-cylinder pressure signals. ► Establish a connection between frequency, temperature and trapped mass. ► Confirm the importance of considering inter-cycle variability.