Method for locating and recognizing process multi-loop fluctuation source
An identification method and source location technology, applied in program control, instruments, special data processing applications, etc., can solve problems such as multi-loop performance degradation, and achieve the effect of solving performance degradation
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[0009] The specific steps of the process multi-loop fluctuation root identification analysis method based on Granger causality analysis are divided into three parts A to C:
[0010] (A) Data preprocessing
[0011] (1) Data screening: Spectral independent component analysis (spectral independent component analysis) is performed on the original data to obtain component-related ratio (CRR) and mixing matrix. Select the corresponding column in the mixing matrix of the pivot with the largest correlation element ratio value. Process variables corresponding to those larger coefficients whose sum of coefficients in this column exceeds 95% of the sum of coefficients in this column are screened out for subsequent analysis.
[0012] (2) Normalization processing: normalize the selected process variables.
[0013] (3) ADF unit root test is performed on each process variable to ensure that the analyzed data sequence is covariance stationary.
[0014] (B) Causal Analysis
[0015] (1) Gra...
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