M. Teimoortashloo1, A. Khaki Sedigh2,*
Computer Systems Science and Engineering, Vol.33, No.1, pp. 5-20, 2018, DOI:10.32604/csse.2018.33.005
Abstract This paper presents a fault detection method based on Dynamic Independent Component Analysis (DICA) with new statistics. These new statistics are
statistical moments and first characteristic function that surrogate the norm operator to calculate the fault detection statistics to determine the
control limit of the independent components (ICs). The estimation of first characteristic function by its series is modified such that the effect of
series remainder on estimation is reduced. The advantage of using first characteristic function and moments, over second characteristic function
and cumulants, as fault detection statistics is also presented. It is shown that the proposed method can… More >
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