A Fault Detection Method of Non-Gaussian Processes and Small Shift

Abstract

Abstract:

Abstract： In this paper, the fault detection of non-Gaussian processes was discussed. A modified sparse representationbased fault detection method was proposed. Two control thresholds called reconstruction error control threshold (CLE) and distance control threshold (CLDint) were introduced, and the fault detection level was improved. Additionally, by introducing a time constant, a sparse representation-based small shift detection method was proposed based on the same framework above， enhancing the detection ability of small shift. Two numerical examples demonstrate the effectiveness of these two methods, and a comparison between the proposed methods and the classic PCA-based fault detection method shows that the proposed methods are superior.

Key words:sparse representation,non-Gaussian processes,small shift,fault detection

GUO Tianxu，CHEN Maoyin，ZHOU Donghua. A Fault Detection Method of Non-Gaussian Processes and Small Shift[J]. Journal of Shanghai Jiaotong University, 2015, 49(06): 775-779.

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