Study on Measurement Data Fusion of Mat Temperature Based on Weighted Least Square Algorithm
Hai Ying Yu, Jun Hua, Xi Chen · Advanced materials research · 2012
During hot pressing of the wood-based panels, the technological conditions, environment noises and performance of the sensors often result in errors in the temperature measurement. To improve the precision and reliability of data, multi-sensor technology is used for measurement data processing. The data consistency checking is performed by computing the confidence distance between adjacent sensors, and therefore the valid data fusion collection is determined. The weighted least square algorithm is applied to acquire high accuracy of overall estimation value by determining the information weight coefficient with the corresponding measurement variance of each sensor. The results of experiment demonstrate that the precision of overall estimation value is preferable than the partial estimation of each sensor and show the effectiveness and reliability of the algorithm.