LI Zhaojun, ZHANG Pei, MA Li, et al. Research on optimal selection techniques for characteristic gases in early warning of power cable fires[J]. Ningxia electric power, 2025, (3).
LI Zhaojun, ZHANG Pei, MA Li, et al. Research on optimal selection techniques for characteristic gases in early warning of power cable fires[J]. Ningxia electric power, 2025, (3). DOI: 10.3969/j.issn.1672-3643.2025.03.007.
To explore whether the gas produced by cable overheating can serve as early indicators of fires
this paper develops a simulation device to replicate overheating faults of power cables under practical engineering conditions.Early-stage fire-related gases are collected under various heating scenarios.The results show that gas generation on cable surfaces is caused by volatilization and thermal decomposition.The main gas components identified include acetophenone
2-phenylisopropanol
isooctanol
benzene
α-methylstyrene
5-methyl-2-undecene
ethylhexyl benzoate
and diisooctyl terephthalate.Furthermore
several stage-representative gases were selected and analyzed using an unsupervised clustering algorithm.The analysis confirms that isooctanol
acetophenone
and benzene can serve as characteristic gases for early-stage warning of power cable fires.