Time series and prognostication of vibration level for hydrotreaters

Abstract

This article is devoted to the problem of vibration level prognostication of hydrotreaters using the mathematical models that describe the time series with long memory. The next problem investigation shows that the processes, which describe the vibration level of hydrotreater’s knot, might be represented effectively with mathematical ARCH and GARCH models. Authors develop the prognostication algorithm for vibration level of hydrotreater’s knot that allows detect a long memory in time series with usage of Sugeno method, analyze a time series and based on these results make a decision about working state of hydrotreater’s knot.