Open AccessForecast estimator of surface machining completion
Author(s) -
A.V. Nemenko,
M. M. Nikitin
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/709/2/022006
Subject(s) - machining , estimator , process (computing) , surface (topology) , markov process , markov chain , random walk , distribution (mathematics) , mathematical optimization , mathematics , computer science , engineering , statistics , mechanical engineering , mathematical analysis , geometry , operating system
We consider the problem of estimating the possible outcomes of surface machining with specified output characteristics. The process of characteristics changing during machining is considered as a random walk with two absorbing levels corresponding to successful and unsuccessful outcomes. For its quantitative description, a Markov process with discrete time and continuous states corresponding to the selected characteristic is used. The transition probabilities for the next step for each of these quantities are given by distribution functions which can be obtained empirically.