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Evaluation of Uncertainty in Partial Discharge Measurement: A Case Study

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

ISO/IEC 17025:2017 recommends all accredited laboratories under this standard, performing testing and calibration, shall identify and evaluate the contributions to the uncertainty of their measurements. This paper represents the results of the 'measurement uncertainty' assessment carried out on a partial discharge (PD) test set in our laboratory. The major sources of uncertainty include sampling error, calibrator inaccuracy, the resolution limit of display panels, temperature and humidity factors, etc. The uncertainty for each factor was calculated by the principles outlined in NIST-1297:1994 and JCGM-100:2008. The test PD levels were 1, 5, 10, 20, 50 and 100 pC. The combined uncertainty was calculated based on all uncertainty contributions, and the expanded uncertainties were expressed with 68%, 95% and 99% confidence level. Apparently, the measurement uncertainty was highest for the lowest test PD which decreased with the increase in PD level. The uncertainty was around 18% at 1 pC PD whereas it dropped to 2.84% at 100 pC PD. Within the whole test range of 5 to 100 pC, the maximum uncertainty was equal to 5.81%.

Original languageEnglish
Pages (from-to)63199-63208
Number of pages10
JournalIEEE Access
Volume12
DOIs
StatePublished - 2024

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Degree of freedom
  • ISO 17025
  • high voltage testing
  • instrumentation and control
  • level of confidence
  • measurement uncertainty
  • partial discharge

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering

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