Concentration Detection Method of Gas Sensor Array Based on Fuzzy Partition and Model Integration
A gas sensor, fuzzy division technology, applied in the direction of material resistance, etc., can solve the problems of not considering the difference of importance, not considering the degree of drift change, and the prediction accuracy needs to be improved.
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[0064] The data set used in this embodiment is a data set measured and published by A Vergara, S Vembu, T Ayhan, M Ryan, M Homer, R Huerta et al. For literature, see "Chemical gas sensor drift compensation using classifier ensembles." Sensors and Actuators B: Chemical 166(2012):320-329. The sensor array is composed of TGS2600, TGS2602, TGS2610 and TGS26204 from Figaro Company, each with 4 gas sensors and a total of 16 gas sensors. Test gases include ammonia, acetaldehyde, acetone, ethylene, ethanol, and toluene. Each sensor extracts 8 signal features for each sample, including two steady-state features and 6 transient features. Therefore, a 128-dimensional feature vector can be obtained from the sensor array for each test. The test lasted for three years (36 months), with a total of 13,910 measurements. That is, the data set is a matrix of 13910×128.
[0065] Such as figure 1 As shown, the drift compensation method of metal oxide gas sensor array concentration detection ...
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