Data-Driven Fault Detection of Three-Tank System Applying MWAT-ICA

In order to improve monitoring performance of dynamic process, a moving window independent component analysis method with adaptive threshold (MWAT-ICA) is proposed. On-line fault detection can be realized by applying moving windows technique, as well as false alarm caused by fluctuation of data can be effectively avoided by adaptive threshold. The efficiency of the proposed approach is demonstrated with a three-tank system. The results show that the MWAT-ICA can not only detect the fault quickly, but also has a high fault detection rate and no false alarm rate under the transient behaviors of the three-water tank and the normal operation process. These results demonstrate the effectiveness of the method for fault detection on the three-tank system. © 2020, Shanghai Jiao Tong University and Springer-Verlag GmbH Germany, part of Springer Nature.