Detecting gross errors for steady state systems

Abstract

Gross error detection is important to data reconciliation in process industry. In practice, gross errors cannot be identified exactly by any algorithm. The issue of unreasonable solutions of gross error detection algorithms is discussed. A novel mixed integer optimization method presented in a previous paper is used in this paper. A strategy is proposed to identify gross errors and its most possible alternatives for steady state systems by the method. Gross errors are identified without the need for measurements elimination. The computation results show the effectiveness of the proposed strategy. © 2009 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.