2023
DOI: 10.1016/j.epsr.2023.109213
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Statistical relationship between RMS and QP spectra of voltage measurements in the 9–150 kHz range

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Cited by 6 publications
(2 citation statements)
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“…The Light-QP relies on the RM-A method to compute the spectral components and implements a digital QP detector to provide the QP values of the measurements. Finally, the Statistical-QP [181], which also relies on the RM-A method, applies a statistical conversion to the RMS spectra in order to estimate the QP values in the distribution grid.…”
Section: Measurement Methods For Emi Above 9 Khzmentioning
confidence: 99%
“…The Light-QP relies on the RM-A method to compute the spectral components and implements a digital QP detector to provide the QP values of the measurements. Finally, the Statistical-QP [181], which also relies on the RM-A method, applies a statistical conversion to the RMS spectra in order to estimate the QP values in the distribution grid.…”
Section: Measurement Methods For Emi Above 9 Khzmentioning
confidence: 99%
“…Its use is supported by CISPR and generally by RF EMC standards as an emissions weighting for a hypothetical jamming of analog radio transmissions for broadcasting purposes (no longer so widely used in the modern world of digital communication);its output being dependent on the time distribution of the spectral characteristics of the incoming signal, it can hardly be compared to a simpler rms or peak detector, as commented in [ 78 ] for impulsive emissions originating from pantograph electric arcs. Nonetheless, its application is still mandatory and has recently attracted a lot of effort to devise an efficient time-domain implementation [ 79 , 80 ]. In general, the representation of time variability of disturbance in the short and long term is challenging for a matter of balancing accuracy and time granularity with the compactness of the representation.…”
Section: Lessons Learned and Compatibility Levels For The Sh Intervalmentioning
confidence: 99%