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Industrial Engineering Journal


A REVIEW ON ARTIFICIAL INTELLIGENCE BASED SENSOR ARRAY SYSTEM FOR DETECTION OF HARMFUL GASES OF THE ENVIRONMENT METHODS

Ms. Pratiksha Rai

S. Hasan Saeed

Abstract

In order to govern the environment, monitor industry, as well as ensure domestic safety, gas sensors are widely utilised. Due to its higher sensitivity, rapid reaction time, and brief recovery period for ethanol, acetone, methane, propane etc., metal oxide semiconductor gas sensors have emerged as a significant area of work in the domain of gas sensing. Pattern recognition techniques are used to describe the sensor network’s performance. Detection principle is used to examine each gas sensing method as well as different factors including gas detection, sensitivity, reaction time, recovery time, sensor variables, sensor features, and benefits and drawbacks are discussed. Sensor array is remarkably responsive, accurate, low-effort, low-power consuming, and can differentiate most significant harmful gasses. This sensor array will distinguish the most notable polluting gases and is notably responsive, precise, low-effort, as well as low-power consuming. In this review all pattern recognition techniques are employed here with crossvalidation. These methods demonstrate how to properly distinguish between gases.

Keywords- Electronic nose; Gas sensing system; Pattern Recognition; PARAFAC; ANN; PLS; PCA.

Volume (2023)

Number 6 (Jun)

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