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

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
Main Authors: Songfeng Yin, Xiang Zou, Yue Cheng, Yunlong Liu
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Sensors
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

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