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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Academy of Sciences of Moldova
2021
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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) |
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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 |
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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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1718409271987666944 |