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

Stefano Lodetti, Deborah Ritzmann, Peter Davis, Paul Wright, Helko van den Brom, Zander Marais, Bas ten Have

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
65 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalIEEE transactions on instrumentation and measurement
DOIs
Publication statusPublished - 2 Dec 2021

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