Insulation Failure Prediction Model of Power Cable in Fire

With input parameters being determined, simplified physical model and heat conduction equation were adopted to establish a power cable insulation failure prediction model in fire, and the validation test was carried out. The internal structure of the cable was simplified to a one-dimensional physica...

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Main Authors: Li Jin-mei, Zhang Jia-qing, Li Qiang, Ren Shi-jing
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:E3S Web of Conferences
Online Access:https://doi.org/10.1051/e3sconf/20187201002
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spelling doaj-0662daca50f548ef9a2469128c8be7a52021-04-02T10:26:06ZengEDP SciencesE3S Web of Conferences2267-12422018-01-01720100210.1051/e3sconf/20187201002e3sconf_ceege2018_01002Insulation Failure Prediction Model of Power Cable in FireLi Jin-meiZhang Jia-qing0Li Qiang1Ren Shi-jing2State Grid Anhui Electric Power Research InstituteChinese People’s Armed Police Academy, Department of Fire Protection EngineeringChinese People’s Armed Police Academy, Department of Fire Protection EngineeringWith input parameters being determined, simplified physical model and heat conduction equation were adopted to establish a power cable insulation failure prediction model in fire, and the validation test was carried out. The internal structure of the cable was simplified to a one-dimensional physical model with three layers, to derive the calculation method of internal structure parameters of cable physical model. Differential equation of heat conduction, which could reflect the internal temperature of cable, was constructed based on basic assumptions, to establish a cable insulation cable failure prediction model with mixed layer heat diffusion coefficient, environment temperature change and insulation cable failure temperature as input parameters. The method to determine model input parameters was also proposed. ZR-YJV and SDR-1 cable thermal radiation furnace were selected in the experiments to obtain insulation failure temperature and time, as well as environmental temperature change of the cable. The experimental results showed that the constructed model had relative small error in predicting cable insulation failure time.https://doi.org/10.1051/e3sconf/20187201002
collection DOAJ
language English
format Article
sources DOAJ
author Li Jin-mei
Zhang Jia-qing
Li Qiang
Ren Shi-jing
spellingShingle Li Jin-mei
Zhang Jia-qing
Li Qiang
Ren Shi-jing
Insulation Failure Prediction Model of Power Cable in Fire
E3S Web of Conferences
author_facet Li Jin-mei
Zhang Jia-qing
Li Qiang
Ren Shi-jing
author_sort Li Jin-mei
title Insulation Failure Prediction Model of Power Cable in Fire
title_short Insulation Failure Prediction Model of Power Cable in Fire
title_full Insulation Failure Prediction Model of Power Cable in Fire
title_fullStr Insulation Failure Prediction Model of Power Cable in Fire
title_full_unstemmed Insulation Failure Prediction Model of Power Cable in Fire
title_sort insulation failure prediction model of power cable in fire
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2018-01-01
description With input parameters being determined, simplified physical model and heat conduction equation were adopted to establish a power cable insulation failure prediction model in fire, and the validation test was carried out. The internal structure of the cable was simplified to a one-dimensional physical model with three layers, to derive the calculation method of internal structure parameters of cable physical model. Differential equation of heat conduction, which could reflect the internal temperature of cable, was constructed based on basic assumptions, to establish a cable insulation cable failure prediction model with mixed layer heat diffusion coefficient, environment temperature change and insulation cable failure temperature as input parameters. The method to determine model input parameters was also proposed. ZR-YJV and SDR-1 cable thermal radiation furnace were selected in the experiments to obtain insulation failure temperature and time, as well as environmental temperature change of the cable. The experimental results showed that the constructed model had relative small error in predicting cable insulation failure time.
url https://doi.org/10.1051/e3sconf/20187201002
work_keys_str_mv AT lijinmei insulationfailurepredictionmodelofpowercableinfire
AT zhangjiaqing insulationfailurepredictionmodelofpowercableinfire
AT liqiang insulationfailurepredictionmodelofpowercableinfire
AT renshijing insulationfailurepredictionmodelofpowercableinfire
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