6533b855fe1ef96bd12afe05
RESEARCH PRODUCT
Uncertainty evaluation in the measurements for the electric power quality analysis
Giovanni CiprianiRosario MiceliCiro Spatarosubject
EngineeringElectric power qualitymeasurement standardpower system measurementMeasurement uncertaintyMonte Carlo methodpower supply qualitySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciPower measurementpower quality analysisUncertainty analysisObservational errorelectric power quality analysiSeries (mathematics)business.industryProcess (computing)UncertaintyData acquisitionmeasurement uncertainty evaluationerror source identificationCurrent measurementExpression (mathematics)Reliability engineeringmeasurement systemISO standardguide to expression of the uncertainty in measurementMeasurement uncertaintybusinessad hoc developed simulatorNoiseAlgorithmSettore ING-INF/07 - Misure Elettriche E Elettronichemeasurement errordescription
The paper deals with the uncertainty estimation in the measurements performed to assess the electric power quality. In a first steps, according to the 'ISO - Guide to Expression of the Uncertainty in Measurements' all the error sources, which give a significant contribution to the combined uncertainty associated to the measurement results, are identified. Successively, in order to analyze how the errors propagate through the measurement chain, a Monte Carlo based approach is proposed. The method exploits an ad-hoc developed simulator of the measurement process, which takes into account the particular way of propagation of all the identified error sources. Eventually, with the aim of validate the proposed approach, the results of a series of experimental tests are presented. © 2013 IEEE.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2013-10-01 |