1.4.3 The EMD Based IMF Analysis of Gas Sensor Dynamic Signals
- Event
- 14th International Meeting on Chemical Sensors - IMCS 2012
2012-05-20 - 2012-05-23
Nürnberg/Nuremberg, Germany - Chapter
- 1.4 Sensors Arrays
- Author(s)
- G. Wei, S. Wei, W. An - School of Information & Electronics, Shandong Institute of Business and Technology (P. R. China)
- Pages
- 118 - 121
- DOI
- 10.5162/IMCS2012/1.4.3
- ISBN
- 978-3-9813484-2-2
- Price
- free
Abstract
Temperature modulation has been proved an efficient technique for improving the selectivity of gas sensors. However, it suffers from the complex and subjective feature extraction processes. This paper introduces the empirical mode decomposition (EMD) method to obtain the intrinsic mode functions (IMFs) of the dynamic signals from the modulated gas sensor system. Instantaneous spectrum and its spectrum peaks are extracted from the IMFs as meaningful features, which not only improve the classification and quantification performance, but also give a better understanding of the nature of the temperature modulated gas sensor signals. Experimental results demonstrate its validity.