A Load Switching Action Monitoring Method Based on Sliding Window Residual Model
A load switching and sliding window technology, applied in the field of signal processing, can solve the problem of easy missed detection of low-power load switching operations, and achieve the effects of avoiding missed switching operations, avoiding missed detection, and simplifying the complexity of identification algorithms.
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[0048] The present invention will be further described below through specific embodiments and accompanying drawings. The embodiments of the present invention are for better understanding of the present invention by those skilled in the art, and do not limit the present invention in any way.
[0049] Such as figure 1 with figure 2 As shown, the load switching action monitoring method based on the sliding window residual model in the present invention mainly includes the extraction of the maximum value of the current cycle, the zero mean value of the sliding window, AR regression fitting calculation residual, residual judgment and Event division and transient time extraction steps:
[0050](1) Obtain the time series of the AC current of the circuit bus through non-invasive equipment, and perform wavelet filtering and denoising processing on the current signal;
[0051] (2) Extract the maximum value of the current cycle: the current after wavelet filtering is extracted accord...
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