Study on Interference Suppression Algorithms for Electronic Noses: A Review
AbstractElectronic noses (e-nose) are composed of an appropriate pattern recognition system and a gas sensor array with a certain degree of specificity and broad spectrum characteristics. The gas sensors have their own shortcomings of being highly sensitive to interferences which has an impact on the detection of target gases. When there are interferences, the performance of the e-nose will deteriorate. Therefore, it is urgent to study interference suppression techniques for e-noses. This paper summarizes the sources of interferences and reviews the advances made in recent years in interference suppression for e-noses. According to the factors which cause interference, interferences can be classified into two types: interference caused by changes of operating conditions and interference caused by hardware failures. The existing suppression methods were summarized and analyzed from these two aspects. Since the interferences of e-noses are uncertain and unstable, it can be found that some nonlinear methods have good effects for interference suppression, such as methods based on transfer learning, adaptive methods, etc. View Full-Text
Share & Cite This Article
Liang, Z.; Tian, F.; Yang, S.X.; Zhang, C.; Sun, H.; Liu, T. Study on Interference Suppression Algorithms for Electronic Noses: A Review. Sensors 2018, 18, 1179.
Liang Z, Tian F, Yang SX, Zhang C, Sun H, Liu T. Study on Interference Suppression Algorithms for Electronic Noses: A Review. Sensors. 2018; 18(4):1179.Chicago/Turabian Style
Liang, Zhifang; Tian, Fengchun; Yang, Simon X.; Zhang, Ci; Sun, Hao; Liu, Tao. 2018. "Study on Interference Suppression Algorithms for Electronic Noses: A Review." Sensors 18, no. 4: 1179.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.