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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EDP Sciences
2018-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://doi.org/10.1051/e3sconf/20187201002 |
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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 |
_version_ |
1724167322947551232 |