Izvorni znanstveni članak

https://doi.org/10.21278/TOF.451026321

A Bayesian Conjugate Model for the Estimation of Friction Intensity

Stipe Perišić orcid.org/0000-0001-5825-1193 ; FESB, University of Split, Split, Croatia
Jani Barle ; FESB, University of Split, Split, Croatia
Predrag Đukić ; University department of professional studies, University of Split, Split, Croatia
Hinko Wolf ; University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, Croatia

Sažetak

This paper addresses the Coulomb dry friction force as a technical indicator for fast and efficient condition-based maintenance. To estimate the value of friction force, the Bayesian analysis is used. Instead of the complex Markov Chain Monte Carlo numerical method, a closed-form analytical solution is applied. Thus, a simple and efficient procedure for friction estimation is described. Such a solution in the Bayesian context is known as the conjugate prior. The procedure presented here is verified numerically and experimentally by directly comparing the estimated value with the measured one. Two families of conjugate priors, the gamma-exponential and the normal-gamma, are compared. It is shown that the latter is suitable for friction estimation. An additional parameter, the precision parameter, was proposed as a criterion for the acceptance of estimation.

Ključne riječi

Bayesian inference; Conjugate priors; Coulomb dry friction; Experimental friction estimation

Hrčak ID:

253199

URI

https://hrcak.srce.hr/253199

Datum izdavanja:

19.5.2021.

Posjeta: 1.380 *