Wavelet-Based Sparse Representation of Waveforms for Type-Testing of Static Electricity Meters

Abstract

This paper presents a strategy for the description of new test waveforms for static electricity meters to be included in international standards. The need of extending the existing standardisation frame arises from several recent studies that have reported conducted electromagnetic interference problems of type-approved static electricity meters, resulting in significant errors in the measured electricity consumption. The proposed method is based on discrete wavelet transform and allows for a compact and parsimonious representation of test waveforms, suitable for inclusion in standards. Very few wavelet parameters are concentrating the relevant information to accurately reproduce all the characteristics that the meters need to be tested against. The same parsimonious description cannot be performed with the current practises based on Fourier transform methods since the new test signals need to be highly non-sinusoidal. The discrete wavelet transform is proposed as a more effective tool to sparsely describe the most relevant waveform features. The effect of different discrete wavelet transform decomposition settings on compactness and reconstruction accuracy is studied using suitable metrics. Finally, results from experimental validation with several different waveforms are presented to demonstrate that the error-inducing features can be preserved using only 0.1 % of the original signal information.

A Novel Road Crack Detection Technology Based on Deep Dictionary Learning and Encoding Networks

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Electromagnetic interference on static energy meters due to residential emissions

“…In this chapter, a parametric waveform model to analyze current waveforms that result in static energy meter interference is defined. The content of this chapter comprises the research that was earlier published in [102]- [104].…”

“…The theoretical background and implementation of a wavelet-based algorithm for describing the interference signals is described in detail in [104]. A DWT is based on a basic function (mother wavelet) that determines the characteristics of the transform, i.e.…”