Integration of Measurement Data into Probability Assessment of High-voltage Assets

Authored by

Henning Schnittker, Peter Werle, Martin Westbomke, Björn Heling, Tobias Rodler

Abstract

Knowing the failure probability of high-voltage assets becomes increasingly important. Measurement data gives an indication of the failure probability, which is manly based on threshold values for these measurements. Values below the threshold are not considered at all or by a warning range shortly before reaching the threshold value. The presented work introduces a methodology to quantify the failure probability depending on the difference between the measured and threshold value. Therefore, Bayes’ theorem is used to assess the failure probability, while measurement data determines the conditional probability through a shift of the probability density function of the measured data. The methodology is exemplified by gas density measurements of circuit breakers.

Details

Organisation(s): High Voltage Engineering and Asset Management Section (Schering Institute)
External Organisation(s): TenneT TSO GmbH
Institut für integrierte Produktion Hannover (IPH)
Type: Conference contribution
Volume: 2023
Pages: 997-1003
No. of pages: 7
Publication date: 28.08.2023
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: General Engineering
Electronic version(s): https://doi.org/10.1049/icp.2024.0738 (Access: Closed )