Switch On-off Automatic Detection Technology Based on Basic Model of Waveform Singularity Detection

Abstract

During the test of low-voltage switches, numerous waveforms are required to be collected and electrical parameters calculated. Traditional detection methods are inefficient and may result in operational errors. Since the sequencing of the test waveform array is converted to corresponding time points by the sampling frequency conversion, to realize automatic positioning of the cursor in waveform and automatic measurement of the electrical parameters, the key lies in the accurate detection of the singular position in the waveform array. This paper builds the basic model of waveform singularity detection based on the singular value decomposition (SVD) algorithm, integrates automatic detection into the electrical parameter test module, realizing the automatic detection of waveforms and parameters during the low-voltage appliance test. Meanwhile, starting from the automatic detection of the conduction time of the same test current when the alternating current contactor is switched on and off, the anti-interference ability of the model under different types of noise and different noise intensities are tested and analyzed. For all types of noise, reliable, uncertain, and unreliable detection zones exist in the automated detection results. When k (effective value of the noise / effective value of original waveform) is less than 10%, all types of noise can be detected in a reliable manner, which effectively J. van der Geer, J.A.J. Hanraads, R.A. Lupton, The art of writing a scientific article, J. Sci. Commun. 163 (2000) 51-59.