A gas detection system combined with a global extension extreme learning machine for early warning of electrical fires

IF 8 1区化学 Q1 CHEMISTRY, ANALYTICAL

Sensors and Actuators B: Chemical Pub Date : 2024-10-18 DOI:10.1016/j.snb.2024.136801

Yanwei Wang, Qinghua Li, Jinyue Zhang, Chongbo Yin, Qinglun Zhang, Yan Shi, Hong Men

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引用次数: 0

Abstract

Overheating failures in electrical equipment can lead to fires, making advanced fire warning technologies essential for preventing or limiting the spread of such incidents. In this work, we develop a gas detection system designed to identify volatile gases emitted from various overheated materials in electrical equipment at different heating stages. By integrating the Global Extension Extreme Learning Machine (GEELM), the system effectively classifies gas information related to overheating materials across multiple time intervals. The gas detection system consists of an odor generation equipment and an external high-current generator. Without producing soot particles of smoke, it collects gas information for six types of plastics, including four boards and two cables. Finally, GEELM achieves the optimal performance in classifying gas information from various overheated materials at different heating times. This confirms the system’s feasibility and effectiveness, offering a powerful technical solution for early detection of overheating issues in electrical equipment.

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结合全球扩展极端学习机的气体检测系统，用于电气火灾预警

电气设备过热故障可能导致火灾，因此先进的火灾预警技术对于防止或限制此类事故的蔓延至关重要。在这项工作中，我们开发了一种气体检测系统，旨在识别电气设备中各种过热材料在不同加热阶段释放出的挥发性气体。通过集成全球扩展极限学习机（GEELM），该系统能有效地对与过热材料相关的气体信息进行多时间间隔分类。气体检测系统由气味发生设备和外部大电流发生器组成。在不产生烟尘颗粒的情况下，它能收集六种塑料的气体信息，包括四种板材和两种电缆。最后，GEELM 在不同加热时间对各种过热材料的气体信息进行分类方面取得了最佳性能。这证实了该系统的可行性和有效性，为电气设备过热问题的早期检测提供了强大的技术解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sensors and Actuators B: Chemical 工程技术-电化学

CiteScore

14.60

自引率

11.90%

发文量

1776

审稿时长

3.2 months

期刊介绍： Sensors & Actuators, B: Chemical is an international journal focused on the research and development of chemical transducers. It covers chemical sensors and biosensors, chemical actuators, and analytical microsystems. The journal is interdisciplinary, aiming to publish original works showcasing substantial advancements beyond the current state of the art in these fields, with practical applicability to solving meaningful analytical problems. Review articles are accepted by invitation from an Editor of the journal.