Add to ORKGGas sensing systems based on low-cost chemical sensor arrays are gaining interest for the analysis of multicomponent gas mixtures. These sensors show different problems, e.g., nonlinearities and slow time-response, which can be partially solved by digital signal processing. Our approach is based on building a nonlinear inverse dynamic system. Results for different identification techniques, including artificial neural networks and Wiener series, are compared in terms of measurement accuracy
The task for a gas sensing system is to measure one or more specified gases and to suppress any dist...
The selectivity of gas-sensor systems is improved by the use of a sensor array (consisting of non-se...
The paper presents two methods of dynamic error correction applied to transducers used for the measu...
Gas sensing systems based on low-cost chemical sensor arrays are gaining interest for the analysis o...
In this study, a comparative study was performed for the quantitative identification of individual g...
Due to the lack in selectivity and separability of most common gas sensors, the use of sensor arrays...
The applied chemical sensor research focuses on sensor arrays and signal evaluation methods, to impr...
During the last years the application of Artificial Neural networks (ANN) has proved to be a model i...
Thanks to their high sensitivity and low-cost, metal oxide gas sensors (MOX) are widely used in gas ...
Among the most serious limitations facing the success of future consumer gas identification systems ...
Based on a dedicated sensor array and a novel data pre-processing function, we report the successful...
The presented sensor array consists of two chemical sensors based on different measurement principle...
International audienceThe use of the chemometric techniques to exploit the selectivity of gas sensor...
A system consisting of a matrix of three semiconductor gas sensors was applied to the classification...
An innovative approach is described for enhancing the selectivity of an integrated multi-element thi...
The task for a gas sensing system is to measure one or more specified gases and to suppress any dist...
The selectivity of gas-sensor systems is improved by the use of a sensor array (consisting of non-se...
The paper presents two methods of dynamic error correction applied to transducers used for the measu...
Gas sensing systems based on low-cost chemical sensor arrays are gaining interest for the analysis o...
In this study, a comparative study was performed for the quantitative identification of individual g...
Due to the lack in selectivity and separability of most common gas sensors, the use of sensor arrays...
The applied chemical sensor research focuses on sensor arrays and signal evaluation methods, to impr...
During the last years the application of Artificial Neural networks (ANN) has proved to be a model i...
Thanks to their high sensitivity and low-cost, metal oxide gas sensors (MOX) are widely used in gas ...
Among the most serious limitations facing the success of future consumer gas identification systems ...
Based on a dedicated sensor array and a novel data pre-processing function, we report the successful...
The presented sensor array consists of two chemical sensors based on different measurement principle...
International audienceThe use of the chemometric techniques to exploit the selectivity of gas sensor...
A system consisting of a matrix of three semiconductor gas sensors was applied to the classification...
An innovative approach is described for enhancing the selectivity of an integrated multi-element thi...
The task for a gas sensing system is to measure one or more specified gases and to suppress any dist...
The selectivity of gas-sensor systems is improved by the use of a sensor array (consisting of non-se...
The paper presents two methods of dynamic error correction applied to transducers used for the measu...