Overcoming Long Recovery Time of Metal-Oxide Gas Sensor With Certainty Factor Sensing Algorithm

Abstract

Gas leaking in gas production industry is a serious issue which could cause explosion or pose a high risk to human life. The searching of leaking gas can be performed by robots. It is better than using human beings because searching of leaking gas is a high risk task. Most of the gas sensors used in industries is semiconductor metal-oxide (MOX) type due to its low cost, ease of use, high sensitivity and fast response time in gas sensing, and ability to detect large number of gases. However, there is a fatal limitation i. e. long recovery time after the exposure of the target gas. It definitely causes robots to fail in gas/odour plume searching tasks due to delay of responses during the absent of gas plume. This paper proposes a sensing algorithm based on evidential theory which is using certainty factors and evidential reasoning to overcome the long recovery problem. Based on the conducted experiments, the proposed algorithm has improved the accuracy and reliability while maintaining its performance in recovery time. It performs better than other algorithms such as simple threshold methods, transient response algorithm and system modelling approach.

Ensemble Learning-Based Approach for Gas Detection Using an Electronic Nose in Robotic Applications

“…The proposed approach is not optimized to overcome the long recovery time (recognize clean air measurements before the responses are fully recovered), which is a limitation compared to sensor modelling approaches that aim to address this issue, e.g. ( Monroy et al, 2012 ), and ( Eu and Yap, 2014 ).…”

Sistem Pakar Dalam Menganalisa Penyakit Perut Dengan Menggunakan Metode Certainty Factor

“…Penelitian diagnosa penyakit perut dilakukan dengan menggunakan Metode Certainty Factor. Metode Certainty Factor adalah penalaran bukti yang didasarkan pada pada pengukuran keyakinan hipotesis dan pengukuran yang ditentukan oleh faktor kepastian [2]. Pendekatan Certainty Factor adalah salah satu kemungkinan metode menguntungkan yang diusulkan untuk menangani masalah kombinasi lapisan data yang berbeda dan ketidakpastian data input [3].…”

“…Pilihan gejala pasien dijelaskan pada Tabel 3. Berdasarkan rule yang telah dibuat, maka hasil perhitungan dari kasus pasien pada Tabel 5 dapat dilakukan dengan menggunakan Persamaan (1) dan (2).…”

Chemical plume tracing

“…In this study, a sensing algorithm based on evidential theory, which uses certainty factors and evidential reasoning, is proposed. 23 The evidential reasoning is based on transient responses because the trend of transient responses can be reliable evidence to judge the sensing situations. 24 According to the chemical plume dispersion model, the odorant concentration is not linearly distributed from high to low concentrations and will not indicate the chemical plume flow direction.…”