（1 College of Electronic Information and Automation, Tianjin Light Industry Vocational Technical College, Tianjin 300350, China;
2 School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China;
Abstract: There are many relay parameters, and the measurement methods and measurement intervals of each parameter are different.Compared with real-time measurement parameters such as time parameters, the release voltage and other parameters have less data, which will cause poor result accuracy in correlation analysis. Based on this, this paper proposes a smoothing index improvement cubic spline interpolation algorithm for morphology fluctuation consistency deviation distance (MFCDD) optimization. Firstly, by introducing the improvement of smoothing index, the variance contribution rate and single point smoothness of the correlation points of the data series are analyzed,and the smooth points and fluctuation points of the data series are determined; secondly, the cubic spline algorithm is improved by using cubic exponential smoothing, and the improved interpolation expression is determined; finally, the morphological fluctuation consistency deviation distance is introduced to determine the interpolation interval, and the data expansion is completed. The relay suction voltage parameter and release voltage parameter are used to verify the above method, and the results show that the above method has good accuracy for data expansion.
Key words: morphological fluctuation consistency deviation distance (MFCDD); improved cubic spline interpolation; smoothing index;variance contribution rate
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