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A universal calibration method for electronic nose based on projection on to convex sets

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Zhang, Shuya, Tian, Fengchun, Covington, James A., Li, Hantao, Zhao, Leilei, Liu, Ran, Qian, Junhui and Liu, Bei (2021) A universal calibration method for electronic nose based on projection on to convex sets. IEEE Transactions on Instrumentation and Measurement, 70 . 2516012. doi:10.1109/tim.2021.3120149 ISSN 0018-9456.

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Official URL: https://doi.org/10.1109/tim.2021.3120149

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Abstract

The drift of electronic nose (e-nose) sensors is the most challenging problem. An effective calibration method for e-nose is proposed in this article, which is based on projection on to convex sets (POCS) and extreme learning machine (ELM) method, including an automatic sampling platform and an e-nose sensor calibration model. It realizes a unified and universal calibration for both recognition and regression application to solve the electronic nose drift problem under long-term working conditions. Isopropanol and acetone gases that respond to most sensors were chosen as training gases for the model. Experiments show the effectiveness of the proposed e-nose calibration method.

Item Type: Journal Article
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
SWORD Depositor: Library Publications Router
Journal or Publication Title: IEEE Transactions on Instrumentation and Measurement
Publisher: IEEE
ISSN: 0018-9456
Official Date: 14 October 2021
Dates:
DateEvent
14 October 2021Published
27 September 2021Accepted
Volume: 70
Article Number: 2516012
DOI: 10.1109/tim.2021.3120149
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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