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:
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.
Research on optimal selection techniques for characteristic gases in early warning of power cable fires
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.