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Sensor signal processing for gravimetric chemical sensors based on a state-space model

Title data

Thalmayr, Florian ; Fischerauer, Gerhard:
Sensor signal processing for gravimetric chemical sensors based on a state-space model.
In: Sensors and Actuators B: Chemical. Vol. 144 (January 2010) Issue 1 . - pp. 27-36.
ISSN 0925-4005
DOI: https://doi.org/10.1016/j.snb.2009.10.014

Project information

Project financing: Bayerisches Staatsministerium für Wissenschaft, Forschung und Kunst

Abstract in another language

One of the major drawbacks of gravimetric (mass-sensitive) chemical sensors with selective coatings is the slow dynamic response due to diffusion processes during analyte molecule absorption. In general, one must put up with a trade-off between sensitivity and response time because both quantities increase with the coating thickness. This issue can be resolved by decoupling the evaluation time from the dynamic behavior of the sensor. To this end, we developed a linear state-space model based on the generally accepted physical model of diffusion and absorption. Then we applied signal processing strategies such as Kalman filtering and Wiener deconvolution to obtain stochastically optimal estimates for the sensor signal features of interest. By this approach, which is novel for the class of sensors under discussion to the best of our knowledge, a change in the ambient analyte gas concentration can be determined quantitatively well before the sensor has reached the steady state. We discuss the features of this approach in detail and demonstrate that the measurement time is almost independent of system time constants. Hence, one can use sensitive (slow) sensors and still guarantee fast effective response times. Finally, we also present a straightforward extension to the even more general nonlinear problem.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Gravimetric chemical sensors; SAW; QMB; dynamic response; state-space model; stochastic signal processing
Institutions of the University: Faculties > Faculty of Engineering Science > Chair Measurement and Control Technology > Chair Measurement and Control Technology - Univ.-Prof. Dr.-Ing. Gerhard Fischerauer
Profile Fields > Emerging Fields > Energy Research and Energy Technology
Faculties
Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > Chair Measurement and Control Technology
Profile Fields
Profile Fields > Emerging Fields
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 19 Feb 2016 06:40
Last Modified: 19 Feb 2016 06:40
URI: https://eref.uni-bayreuth.de/id/eprint/30864