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

doi:10.1007/s12204-020-2227-7

Abstract

Abstract: 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.

Key words: moving window| adaptive threshold| three-tank system| fault detection

摘要： 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.

关键词: moving window| adaptive threshold| three-tank system| fault detection

CLC Number:

TP 181

LIU Mingguang, LIAO Yaxuan, LI Xiangshun . Data-Driven Fault Detection of Three-Tank System Applying MWAT-ICA[J]. J Shanghai Jiaotong Univ Sci, 2020, 25(5): 659-664.

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