On-line sensor calibration transfer among electronic nose instruments for monitoring volatile organic chemicals in indoor air quality

A rapid discreteness correction scheme for reproducibility enhancement among a batch of MOS gas sensors

“…GAT-RWLS method using reference formaldehyde gas for discreteness correction was proposed in our previous publication [23]. Through a large number of electronic nose experiments, we found that there exists a good linear relation between two sensors with the same type when exposed to the same environment and conditions.…”

“…Experimental results of the formaldehyde samples correction demonstrate that the proposed method was very effective and easy to realize. We refer readers [23] for the details of the GAT-RWLS method.…”

“…In batch of E-nose production, the homogeneity of multiple electronic noses' predictions when exposed to the same gas component is very important and the week reproducibility would seriously degrade the homogeneity [23]. The homogeneity completely depends on the MOS gas sensor array embedded in E-nose, because the pattern recognition module used internally is identical among E-noses and different inputs from sensors would lead to different predictions.…”

“…The kind of sensor discreteness must cause the reduction of E-nose prediction accuracy and reproducibility. To solve the problem of sensor discreteness, specific correction methods have been studied in previous publications [23,24]. Comparatively, the GAT-RWLS method proposed in [23], for its simplification of algorithm, is easier to implement for calibration in real-time E-nose detection.…”

A Novel ANN Ensemble and Self-calibration Model in Electronic Nose for Concentration Estimation

“…The e-nose system has been introduced in our previous publication [12]. Our sensor array in e-nose system consists of four gas sensors from the TGS series including TGS2602, TGS2620, TGS2201A and TGS2201B.…”