FFT-STL-based Algorithm for Extracting and Analyzing the Aging Component of Dam Monitoring Data
The main purpose of quantitative analysis of dam monitoring data is to determine whether the change trend of the monitored physical quantities is in the direction of danger,but the traditional methods are vulnerable to human fac-tors.Therefore,this paper proposes an FFT-STL-based algorithm for extracting and analyzing the aging component of dam monitoring data.The algorithm uses the FFT algorithm to calculate the period of monitoring data,and passes it to the STL decomposition algorithm as input parameters to automatically extract the aging component of the data.The opti-mal model was selected by regression fitting of different types of aging component models.Finally,the trend of the aging component is studied according to the rate of change.Compared with the traditional algorithm,the algorithm in this pa-per can accurately and reliably reflect the changes and development trend of dam safety monitoring data,and has better a-daptability.
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