Title | ||
---|---|---|
Suppression of Strong Background Interference on E-Nose Sensors in an Open Country Environment. |
Abstract | ||
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The feature extraction technique for an electronic nose (e-nose) applied in tobacco smell detection in an open country/outdoor environment with periodic background strong interference is studied in this paper. Principal component analysis (PCA), Independent component analysis (ICA), re-filtering and a priori knowledge are combined to separate and suppress background interference on the e-nose. By the coefficient of multiple correlation (CMC), it can be verified that a better separation of environmental temperature, humidity, and atmospheric pressure variation related background interference factors can be obtained with ICA. By re-filtering according to the on-site interference characteristics a composite smell curve was obtained which is more related to true smell information based on the tobacco curer's experience. |
Year | DOI | Venue |
---|---|---|
2016 | 10.3390/s16020233 | SENSORS |
Keywords | Field | DocType |
background interference,suppression,outdoor,electronic nose sensors | Electronic nose,Multiple correlation,Analytical chemistry,A priori and a posteriori,Feature extraction,Independent component analysis,Interference (wave propagation),Engineering,Environmental temperature,Principal component analysis | Journal |
Volume | Issue | ISSN |
16 | 2.0 | 1424-8220 |
Citations | PageRank | References |
2 | 0.40 | 0 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fengchun Tian | 1 | 27 | 10.47 |
Jian Zhang | 2 | 2 | 0.40 |
Simon X. Yang | 3 | 1029 | 124.34 |
Zhenzhen Zhao | 4 | 2 | 0.74 |
Zhifang Liang | 5 | 12 | 3.39 |
Yan Liu | 6 | 2 | 0.74 |
Di Wang | 7 | 2 | 1.08 |