Detection and Prediction of Internal-Caused Fire in Tunnel Cable by an Equivalent Transient Thermal Circuit Model

Internal-caused cable fires are one of the most common cable fires, and anomalous temperature increase of the cable core is one of the first signs. However, when a cable is operating with electricity, the temperature of the core conductor cannot be monitored directly; therefore, this characteristic...

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Autores principales:	Yanwen Wang, Xuran Zhang, Le Wang, Yinsheng Wang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/0a367dbf5fdd4ba790c291fa2c55c63e
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id	oai:doaj.org-article:0a367dbf5fdd4ba790c291fa2c55c63e
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spelling	oai:doaj.org-article:0a367dbf5fdd4ba790c291fa2c55c63e2021-11-22T01:10:16ZDetection and Prediction of Internal-Caused Fire in Tunnel Cable by an Equivalent Transient Thermal Circuit Model1687-809410.1155/2021/5618575https://doaj.org/article/0a367dbf5fdd4ba790c291fa2c55c63e2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5618575https://doaj.org/toc/1687-8094Internal-caused cable fires are one of the most common cable fires, and anomalous temperature increase of the cable core is one of the first signs. However, when a cable is operating with electricity, the temperature of the core conductor cannot be monitored directly; therefore, this characteristic cannot be used in detection and prediction of internal-caused fire in electric cable effectively. An analogous transient thermal circuit model is created, simplified, and optimized to properly compute the temperature of the cable core. Afterward, by using the cable internal-caused fire experimental platform and adjusting current carrying capacity of the tested cable, an experiment is conducted for stimulating the very early stage of three-core cable internal-caused fire. The maximum relative errors of the transient thermal circuit model and the trisection transient thermal circuit model are less than 10% when comparing the experimental data with the calculation results, and the average relative error of the calculated value of trisection transient thermal circuit model is 1.08% after layered optimization. The algorithm model can satisfy the requirement for early detection and prediction in the very early stage of cable internal-caused fire.Yanwen WangXuran ZhangLe WangYinsheng WangHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040ENAdvances in Civil Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Yanwen Wang Xuran Zhang Le Wang Yinsheng Wang Detection and Prediction of Internal-Caused Fire in Tunnel Cable by an Equivalent Transient Thermal Circuit Model
description	Internal-caused cable fires are one of the most common cable fires, and anomalous temperature increase of the cable core is one of the first signs. However, when a cable is operating with electricity, the temperature of the core conductor cannot be monitored directly; therefore, this characteristic cannot be used in detection and prediction of internal-caused fire in electric cable effectively. An analogous transient thermal circuit model is created, simplified, and optimized to properly compute the temperature of the cable core. Afterward, by using the cable internal-caused fire experimental platform and adjusting current carrying capacity of the tested cable, an experiment is conducted for stimulating the very early stage of three-core cable internal-caused fire. The maximum relative errors of the transient thermal circuit model and the trisection transient thermal circuit model are less than 10% when comparing the experimental data with the calculation results, and the average relative error of the calculated value of trisection transient thermal circuit model is 1.08% after layered optimization. The algorithm model can satisfy the requirement for early detection and prediction in the very early stage of cable internal-caused fire.
format	article
author	Yanwen Wang Xuran Zhang Le Wang Yinsheng Wang
author_facet	Yanwen Wang Xuran Zhang Le Wang Yinsheng Wang
author_sort	Yanwen Wang
title	Detection and Prediction of Internal-Caused Fire in Tunnel Cable by an Equivalent Transient Thermal Circuit Model
title_short	Detection and Prediction of Internal-Caused Fire in Tunnel Cable by an Equivalent Transient Thermal Circuit Model
title_full	Detection and Prediction of Internal-Caused Fire in Tunnel Cable by an Equivalent Transient Thermal Circuit Model
title_fullStr	Detection and Prediction of Internal-Caused Fire in Tunnel Cable by an Equivalent Transient Thermal Circuit Model
title_full_unstemmed	Detection and Prediction of Internal-Caused Fire in Tunnel Cable by an Equivalent Transient Thermal Circuit Model
title_sort	detection and prediction of internal-caused fire in tunnel cable by an equivalent transient thermal circuit model
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/0a367dbf5fdd4ba790c291fa2c55c63e
work_keys_str_mv	AT yanwenwang detectionandpredictionofinternalcausedfireintunnelcablebyanequivalenttransientthermalcircuitmodel AT xuranzhang detectionandpredictionofinternalcausedfireintunnelcablebyanequivalenttransientthermalcircuitmodel AT lewang detectionandpredictionofinternalcausedfireintunnelcablebyanequivalenttransientthermalcircuitmodel AT yinshengwang detectionandpredictionofinternalcausedfireintunnelcablebyanequivalenttransientthermalcircuitmodel
_version_	1718418322305843200

Detection and Prediction of Internal-Caused Fire in Tunnel Cable by an Equivalent Transient Thermal Circuit Model

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