Control Parameters Optimum of Control Charts for Measurement Process Control Using Bootstrap Entropy Fusion Model
SUN Qun1, ZHAO Ying1, PAN Quan-ke2
1. School of Automobile and Transportation Engineering, Liaocheng University, Liaocheng,Shandong 252059, China
2. School of Computer Science, Liaocheng University, Liaocheng, Shandong 252059, China
Abstract The Shewhart control chart is a main method to analyze check data. However, the Shewhart control chart is apt to cause false alarm under small amount of sample. For this problem, a method of Bootstrap Entropy Fusion Model is proposed to optimize control parameters of the Shewhart control chart. The bootstrap method is used to enlarge the amount of sample firstly. Based on this work, the maxim entropy is used to describe probability density functions of check data distribution parameters and estimate the mean value and variance of check data distribution. Therefore, control parameters are optimized. Experiments show that the optimized control parameters approach theory true values and the probability of false alarm is decreased.
2012, Vol. 33 
