Hybrid process data denoising method based on EEMD

In view of the features of chemical process data,this paper presented a novel integrated EEMD preprocessing met-hod based on the principles of EMD denoising and first order differential.This method designed a first order differential method using new rank as the pre-filter process unit to reduce the effects of gross errors,and used a denoising scheme based on EEMD method to suppress pulse interference and remove white noise from the signal.Compared with traditional filtering,the hybrid EEMD filtering method did not need to define the coefficients of filter,so it was fully data-driven and adaptive.The simulation and experimental results demonstrate the effectiveness of this method in gross error elimination and fault detection.