Temperature Compensation of Laser Methane Sensor Based on a Large-Scale Dataset and the ISSA-BP Neural Network

We aimed to improve the detection accuracy of laser methane sensors in expansive temperature application environments. In this paper, a large-scale dataset of the measured concentration of the sensor at different temperatures is established, and a temperature compensation model based on the ISSA-BP...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Songfeng Yin, Xiang Zou, Yue Cheng, Yunlong Liu
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Subjects:	laser methane sensors temperature compensation isolation forest algorithm BP neural network sparrow search algorithm
Online Access:	https://www.mdpi.com/1424-8220/24/2/493