Real-time power quality data compression algorithm
A power quality and data compression technology, applied in electrical components, code conversion, etc., can solve the problem of low accuracy of restored data errors, and achieve the effects of good real-time performance, broad engineering application prospects, and simple algorithms
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[0017] The comprehensive extreme value method includes the following steps:
[0018] 1. Cut the power quality sampling data to a certain length, set is the number of cycles, and the sampling frequency is , is the number of discrete points sampled, then , the sampling data are recorded as: , then the input data array is: , is a two-dimensional Array of rows, the abscissa is from arrive Arranged in positive order, the ordinate is the sampling data.
[0019] 2. Compare in order of abscissa from small to large The ordinate values of two adjacent elements in ,like or ,Will Save it as the first extreme value array Elements. The sampling data at the two endpoints are the extreme points by default, assuming that there are a total of local extremum points, then the extremum array the length of .
[0020] 3. Array of extreme values Use cubic splines:
[0021] Perform interpolation fitting to obtain the length The undo data of , as the undo ...
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