Performance monitoring method based on balanced partial least square and Statistics Pattern Analysis

For process monitoring, it's of significance to pay more attention to some performance indexes related to quality, economy or security. To this end, a novel performance monitoring method based on the prediction of the performance indexes is proposed in this paper to promote the efficiency of process monitoring. In this study, firstly, the process variables are classified into two categories according to the correlation with the performance indexes. Based on the two categories of variables, a balanced Partial Least Square algorithm is proposed by constructing an enhanced objective function to predict the performance indexes which cannot be measured online. Then, the prediction residual is modeled for monitoring via the Statistics Pattern Analysis to capture the variation in the performance indexes. Finally, two Simulink examples and a practical example are utilized for illustration and validation.