Features of Forecasting Reliability of 6—10 kV Overhead Lines According to Statistics of their Failures and Reconditionings

This work is aimed at forecasting justification of the failure time of the 6—10 kV overhead elecric lines (OEL) during the normalized period in its operation based on comparison with the statistics of failures and reconditionings on the previous intervals with the use of the OEL availability functio...

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Autor principal: Basmanov V.G.
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Publicado: Academy of Sciences of Moldova 2021
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spelling oai:doaj.org-article:0fd80117aedf4175a2f10da4772fb7852021-11-26T13:21:02ZFeatures of Forecasting Reliability of 6—10 kV Overhead Lines According to Statistics of their Failures and Reconditionings 10.52254/1857-0070.2021.4-52.011857-0070https://doaj.org/article/0fd80117aedf4175a2f10da4772fb7852021-11-01T00:00:00Zhttps://journal.ie.asm.md/assets/files/01_04_52_2021.pdfhttps://doaj.org/toc/1857-0070This work is aimed at forecasting justification of the failure time of the 6—10 kV overhead elecric lines (OEL) during the normalized period in its operation based on comparison with the statistics of failures and reconditionings on the previous intervals with the use of the OEL availability function, statistical availability coefficient, normalized forecasting interval and the accepted values of the availability coefficient on the forecasting interval. To achieve the goal set the OL is described as an object of a multiple action, its failure and reconditioning flows are accepted as the simplest Poisson, and for the theoretical analysis of the variation character in the availability coefficient, the probability theory methods along with a mass service were used. The most significant result is justification of the use for the forecasting of the OEL failure time of a new convenient exponential expression of its availability function on the normalized period being forecasted. Unlike the accepted in the theory of reliability the availability function with two parameters (average times of work and reconditionings), the proposed expression uses one parameter of distribution (virtual non-failure operating time). The significance of the results obtained consists in that controlling the dynamics of the variation in the statistical coefficient of availability of the OEL on the previous time intervals makes it possible to forecast its failure time during the forthcoming normalized periods of operation.Basmanov V.G.Academy of Sciences of Moldovaarticleoverhead linesacoefficient of technical availabilityforecasting normalized intervalElectrical engineering. Electronics. Nuclear engineeringTK1-9971Production of electric energy or power. Powerplants. Central stationsTK1001-1841Renewable energy sourcesTJ807-830ENRORUProblems of the Regional Energetics, Vol 4(52), Iss 4, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
RO
RU
topic overhead linesa
coefficient of technical availability
forecasting normalized interval
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Production of electric energy or power. Powerplants. Central stations
TK1001-1841
Renewable energy sources
TJ807-830
spellingShingle overhead linesa
coefficient of technical availability
forecasting normalized interval
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Production of electric energy or power. Powerplants. Central stations
TK1001-1841
Renewable energy sources
TJ807-830
Basmanov V.G.
Features of Forecasting Reliability of 6—10 kV Overhead Lines According to Statistics of their Failures and Reconditionings
description This work is aimed at forecasting justification of the failure time of the 6—10 kV overhead elecric lines (OEL) during the normalized period in its operation based on comparison with the statistics of failures and reconditionings on the previous intervals with the use of the OEL availability function, statistical availability coefficient, normalized forecasting interval and the accepted values of the availability coefficient on the forecasting interval. To achieve the goal set the OL is described as an object of a multiple action, its failure and reconditioning flows are accepted as the simplest Poisson, and for the theoretical analysis of the variation character in the availability coefficient, the probability theory methods along with a mass service were used. The most significant result is justification of the use for the forecasting of the OEL failure time of a new convenient exponential expression of its availability function on the normalized period being forecasted. Unlike the accepted in the theory of reliability the availability function with two parameters (average times of work and reconditionings), the proposed expression uses one parameter of distribution (virtual non-failure operating time). The significance of the results obtained consists in that controlling the dynamics of the variation in the statistical coefficient of availability of the OEL on the previous time intervals makes it possible to forecast its failure time during the forthcoming normalized periods of operation.
format article
author Basmanov V.G.
author_facet Basmanov V.G.
author_sort Basmanov V.G.
title Features of Forecasting Reliability of 6—10 kV Overhead Lines According to Statistics of their Failures and Reconditionings
title_short Features of Forecasting Reliability of 6—10 kV Overhead Lines According to Statistics of their Failures and Reconditionings
title_full Features of Forecasting Reliability of 6—10 kV Overhead Lines According to Statistics of their Failures and Reconditionings
title_fullStr Features of Forecasting Reliability of 6—10 kV Overhead Lines According to Statistics of their Failures and Reconditionings
title_full_unstemmed Features of Forecasting Reliability of 6—10 kV Overhead Lines According to Statistics of their Failures and Reconditionings
title_sort features of forecasting reliability of 6—10 kv overhead lines according to statistics of their failures and reconditionings
publisher Academy of Sciences of Moldova
publishDate 2021
url https://doaj.org/article/0fd80117aedf4175a2f10da4772fb785
work_keys_str_mv AT basmanovvg featuresofforecastingreliabilityof610kvoverheadlinesaccordingtostatisticsoftheirfailuresandreconditionings
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