Waveform Model to Characterize Time-Domain Pulses Resulting in EMI on Static Energy Meters
Autor: | Marc Pous, Marco A. Azpurua, Niek Moonen, Tom Hartman, Frank Leferink, Bas ten Have, Ferran Silva |
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Přispěvatelé: | Power Electronics, Digital Society Institute |
Rok vydání: | 2021 |
Předmět: |
Computer science
Acoustics Pulse duration 020206 networking & telecommunications Hardware_PERFORMANCEANDRELIABILITY 02 engineering and technology Condensed Matter Physics Atomic and Molecular Physics and Optics Electromagnetic interference Nonlinear system Computer Science::Sound EMI Hardware_INTEGRATEDCIRCUITS 0202 electrical engineering electronic engineering information engineering Waveform Metering mode Time domain Electrical and Electronic Engineering Crest factor |
Zdroj: | IEEE transactions on electromagnetic compatibility, 63(5), 1542-1549. IEEE |
ISSN: | 1558-187X 0018-9375 |
Popis: | This article presents a time-domain waveform model developed to characterize pulsed, nonlinear, current waveforms resulting in electromagnetic interference on static energy meters. The waveform model is calculated by fitting the sampled waveform data into a linear piece-wise function through a process that involves applying algorithms of pulse extraction, change-point detection, and redundancy elimination. The model is applied to data from laboratory experiments that have indicated critical current waveforms resulting in electromagnetic interference problems with static meters. Afterwards, the parameters of the modeled waveforms are calculated in order to correlate them to metering errors. The most relevant parameters that are correlated to significant errors are the maximum slope, crest factor, pulse duration, and charge. The waveform model provides an accurate description of the complex nonlinear waveforms through simplified analytical expressions that reproduce the significant features of the interfering waveforms. This waveform modeling approach could be used to standardize the artificial test signals that are representative of realistic devices and scenarios. |
Databáze: | OpenAIRE |
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