Gross Error Detection of Soft Sensing Data Based on Improved FCM

It is essential to detect the gross errors for improving the precision of soft sensing model. Clustering technique was used to detect gross error in this paper. Based on Fuzzy C-Means clustering algorithm (FCM) and Differential Evolution (DE), the proposed algorithm can detect the gross errors in modeling data for a soft sensor. The numerical experiments result shows that the algorithm is effectively.