Correction of Dynamic Errors of a Gas Sensor Based on a Parametric Method and a Neural Network Technique
AbstractThe paper presents two methods of dynamic error correction applied to transducers used for the measurement of gas concentration. One of them is based on a parametric model of the transducer dynamics, and the second one uses the artificial neural network (ANN) technique. This article describes research of the dynamic properties of the gas concentration measuring transducer with a typical sensor based on tin dioxide. Its response time is about 8 min, which may be not acceptable in many applications. On the basis of these studies, a parametric model of the transducer dynamics and an adequate correction algorithm has been developed. The results obtained in the research of the transducer were also used for learning and testing ANN, which were implemented in the dynamic correction task. Despite the simplicity of the used models, both methods allowed a significant reduction of the transducer’s response time. For the algorithm based on the parametric model the response time was shorter by approximately eight-fold (reduced up to 40–80 s, i.e., about 2–4 sample periods), whereas with the use of an ANN the output signal was practically fixed after a time equal to one sampling period, i.e., 20 s. In addition, the use of ANN has allowed reducing the impact of the transducer dynamic non-linearity on the correction effectiveness. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Roj, J. Correction of Dynamic Errors of a Gas Sensor Based on a Parametric Method and a Neural Network Technique. Sensors 2016, 16, 1267.
Roj J. Correction of Dynamic Errors of a Gas Sensor Based on a Parametric Method and a Neural Network Technique. Sensors. 2016; 16(8):1267.Chicago/Turabian Style
Roj, Jerzy. 2016. "Correction of Dynamic Errors of a Gas Sensor Based on a Parametric Method and a Neural Network Technique." Sensors 16, no. 8: 1267.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.