Comparative Study of Drift Compensation Methods for Environmental Gas Sensors

Abstract

Abstract. Most drift compensation attempts in environmental gas sensors are only emphasize on the "already-known" drift-causing parameter (i.e., ambient temperature, relative humidity) in compensating the sensor drift. Less consideration is taken to another parameter (i.e., baseline responses) that might have affected indirectly with the promotion of drift-causing parameter variable (in this context, is ambient temperature variable). In this study, the "indirect" drift-causing parameter (drifted baseline responses) has been taken into consideration in compensating the sensor drift caused by ambient temperature variable, by means of a proposed drift compensation method (named as RT-method). The effectiveness of this method in its efficacy of compensating drift was analysed and compared with the common method that used the "already-known" drift-causing parameter (named as T-method), using drift reduction percentage. From the results analysis, the RT-method has outperformed Tmethod in the drift reduction percentage, with its ability to reduce drift up to 64% rather than the T-method which only able to reduce up to 45% for TGS2600 sensor. It has proven that the inclusion of drifted baseline responses into drift compensation attempt would resulted to an improved drift compensation efficiency.

A humidity-resistant and room temperature carbon soot@ZIF-67 composite sensor for acetone vapour detection

“…30,31 Although sensor signal dri quite commonly occurs in gas sensors it can be compensated by using mathematical models. 32 The introduction of CNPs into ZIF-67 (sensor 3) improved the sensitivity of the sensor (>155×) when compared to sensor 2. Sensor 3 responds strongly toward acetone and responded poorly toward other analytes (3-pentanone, 4-methyl-1-hexene, toluene and cyclohexane).…”

Development of a Compact, IoT-Enabled Electronic Nose for Breath Analysis

“…The applied voltage is fixed, to measure the change in resistance to characterise the sensor response. Traditionally, the limitations of MOX gas sensors relate to high power consumption and temporal drift [30,31]. The emergence of MEMS-technology MOX sensors has led to further miniaturisation of sensing chips and heater resistors, which has drastically reduced power consumption.…”

Is your smoke detector working properly?

“…The existing Industry Standard approach: A common approach implemented in commercial smoke detectors, which we call the Industry Standard Approach or IndustryApproach, uses the response from the PT in the NoSmoke condition to estimate drift. Most "intelligent" smoke detector models available in the market use this approach [1,28,29,34], and it is the leading method cited in NFPA 72 [15], recent publications [10], and patents [20]. This method saves a baseline PT output, and compares the measured PT output (typically over several days) in "normal" smoke conditions against the baseline.…”