Open AccessDirect interfacing circuit‐based e‐nose for gas classification and its uncertainty estimation
Author(s) -
Dutta Lachit,
Hazarika Anil,
Bhuyan Manabendra
Publication year - 2018
Publication title -
iet circuits, devices and systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.251
H-Index - 49
eISSN - 1751-8598
pISSN - 1751-858X
DOI - 10.1049/iet-cds.2017.0106
Subject(s) - interfacing , electronic nose , measurement uncertainty , microcontroller , sensor array , computer science , electronic engineering , engineering , mathematics , statistics , artificial intelligence , embedded system , machine learning , computer hardware
This study focuses on the application of a direct interface circuit (DIC) with a microcontroller for the measurement of responses from an array of metal oxide semiconductor (MOS) gas sensors and evaluation of its performance. The authors estimate the uncertainty caused by a sensor circuit and DIC parameters in the measurement of output responses from a MOS gas sensor array. In deriving such a setting, an uncertainty principle is utilised to estimate the ranges of the uncertainty of each parameter causing a deviation in measurement from the true value. The authors explore the extent of uncertainty contributed by both the sensor parameters as well as the DIC parameters of the e‐nose system. An experimental investigation demonstrates that the DIC‐interfaced MOS gas sensor‐based e‐nose incorporates various sources of uncertainty.