Abstract:

The features of rough set theory in data extraction are analyzed.Rough set theory is applied to historical records of operating parameters of an industrial refrigerating plant.From a set of nine recorded parameters, the number of relevant factors affecting the energy consumption of refrigerating compressors is reduced to just four by applying rough set theory to filter recorded data.This reduction of parameters allows the study of energy consumption of refrigerating compressors to be simplified and an experimental formula relating electrical current to dry bulb temperature to be determined.The results show that rough set theory can be used to analyze the operating parameters of refrigerating plants and the potential rules of the data set can be extracted.