A Modified Gross Error Detection Method Based on F Statistic

The reliability and accuracy of industrial process data directly affect the process control, scheduling and optimization. Thus, the measurement data with high accuracy, reliability and consistency are quite important. This paper discusses the theory and application of data rectification, and analyzes the significance of gross error detection method. By investing two kinds of traditional statistics based gross error detection methods, this paper proposes an F statistic based NT MT detection method. Compared with two traditional methods, the improved NT MT algorithm can attain better detection results and has higher sensitiveness to gross error.