@inproceedings{d049c408bbc743f0be9712f66d7f3e83,
title = "Air-discharge Decomposition Gases Detected by Sensor Array with Contrast Learning",
abstract = "Before the insulation failure of the air switch cabinet, its partial discharge will decompose the air and form characteristic decomposition products including carbon monoxide (CO) and nitrogen dioxide (NO2). Because of its cross sensitivity, a single semiconductor gas sensor can hardly selectively distinguish these characteristic gases. Sensor array can effectively identify the gas composition, but to reduce the cost and sensor volume, the array needs to be optimized to reduce the number of sensors. In this paper, In this paper, an unsupervised algorithm based on contrast learning is employed to optimize semiconductor gas sensor array, to maintaining gas recognition accuracy while reducing the number of sensors.",
keywords = "array optimization, contrast learning, gas mixtures, semiconductor gas sensor",
author = "Jiakun Wang and Feng Jing and Zhengyang Yuan and Bingjie Li and Jie Yang and Jianbin Pan and Jifeng Chu and Aijun Yang",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023 ; Conference date: 14-04-2023 Through 16-04-2023",
year = "2023",
doi = "10.1109/ACPEE56931.2023.10135766",
language = "英语",
series = "Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1596--1600",
editor = "Tek-Tjing Lie and Wenpeng Luan and Youbo Liu",
booktitle = "Proceedings - 2023 8th Asia Conference on Power and Electrical Engineering, ACPEE 2023",
}