An application study of the improved PCA method in the TE process fault detection

In this paper, a specific description of the principles and procedures about how to use PCA method is given, in the field of fault detection in industrial systems, based on the Tennessee-Eastman process. An improved PCA method is presented and a more precise model of the principal component is established. The simulation results show that the improved PCA has better performance, effectively reduce the missed alarm rate and enhance the sensitivity and robustness of faults detection systems. This article also summarized the cases about other deficiencies and improvement of PCA method, such as nonlinearity, adaptation and so on, which provides the corresponding solution ideas and improved programs of research, using PCA-based fault diagnosis method in variety of different industrial objects.