A gas source declaration scheme based on a tetrahedral sensor structure in three-dimensional airflow environments

Hui-Rang Hou; Yuan Tong; Chao Ren; Qing-Hao Meng

doi:10.1063/1.5023137

A gas source declaration scheme based on a tetrahedral sensor structure in three-dimensional airflow environments

Rev Sci Instrum. 2019 Feb;90(2):024104. doi: 10.1063/1.5023137.

Authors

Hui-Rang Hou¹, Yuan Tong¹, Chao Ren¹, Qing-Hao Meng¹

Affiliation

¹ Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Institute of Robotics and Autonomous Systems, Tianjin University, Tianjin 300072, China.

PMID: 30831740
DOI: 10.1063/1.5023137

Abstract

A gas source declaration scheme based on a tetrahedral sensor structure in three-dimensional airflow environments is proposed. First, a tetrahedral sensor structure was established. Based on the tetrahedral structure, the gas source declaration problem was converted into a two-class classification issue. Then a classification algorithm combining an extreme learning machine (ELM, a fast neural network classifier) with a gas mass flux criterion is proposed. A novel calculation method for the mass flux through a closed tetrahedral surface is presented, and a mass flux criterion was developed which acts as a training sample filter for the ELM. The source declaration scheme was validated by using both regular and irregular tetrahedron experiments.