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Identification of a binary gas mixture from a single resistive microsensor
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Al-Khalifa, Sherzad (2000) Identification of a binary gas mixture from a single resistive microsensor. PhD thesis, University of Warwick.
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WRAP_THESIS_Al-Khalifas_2000.pdf - Submitted Version Download (39Mb) | Preview |
Official URL: http://webcat.warwick.ac.uk/record=b1371163~S1
Abstract
Increasing concern about the rapid escalation of environmental pollution has led to strong
legislation to ensure, for example, that the emission of pollutants from vehicles and
industries is controlled to an acceptable level. As a consequence, there has been a rapid
expansion of research into developing more efficient and low-cost gas monitoring systems.
Currently, commercial solid-state atmospheric gas detection systems are based on
one sensor for each gas, while research systems are an array of sensors for the detection of
multiple gases. In this research, techniques are developed whereby more than one gas is
detected using a single resistive gas sensor.
A novel modulated temperature technique was used to enhance the selectivity of
the resistive SnO2 gas sensor. Fast Fourier transforms was used to extract the Fourier
coefficients. These in turn were used as input to neural networks for training and
subsequently for prediction purposes. The result has shown that a single doped SnO2
resistive microsensor can be used to classify binary gas mixture in air.
The research objectives have been fulfilled in that a novel way in detecting the
components and the concentration level of a binary gas mixture was developed.
Additionally, a low-cost low-power intelligent gas monitoring system was designed. This
included the design of a novel temperature/thermometer circuit.
| Item Type: | Thesis (PhD) | ||||
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| Subjects: | T Technology > TP Chemical technology | ||||
| Library of Congress Subject Headings (LCSH): | Gas detectors -- Design and construction | ||||
| Official Date: | September 2000 | ||||
| Dates: |
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| Institution: | University of Warwick | ||||
| Theses Department: | School of Engineering | ||||
| Thesis Type: | PhD | ||||
| Publication Status: | Unpublished | ||||
| Supervisor(s)/Advisor: | Gardner, J. W. (Julian W.), 1958- | ||||
| Extent: | xiii, 169, [33] p. | ||||
| Language: | eng |
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