A New Method for the Detection of Steady State Based on Fuzzy Sets
Ximei Liu · Journal of Qingdao University of Science and Technology · 2010
It must be made certain process state before data reconciliation,which is detection of steady state.There are three states of the process:steady state,dynamic state and the transition state.The usual methods for the detection of steady state are all dimorphism detection: dynamic state or steady state.They only give a qualitative detection of the process state and this is inconsequence in most real conditions.In this paper,a new method for the detection of steady state based on fuzzy sets is proposed.It no longer classifies qualitatively the process state only two kinds: dynamic state and steady state.It utilizes fuzzy sets to express process state and quantifies every state of the process using fuzzy formulas.This gives a quantitative weigh index of process state,augments differentiation degree of state detection and provides a more precise state reference for data reconciliation.