GAS ANALYSIS SYSTEM BASED ON ARTIFICIAL NEURAL NETWORKS |
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| B. Baraboi, M. Cretu, C. Fosalau, C. Donciu |
- Abstract:
- The paper presents the design and implementation of an automated system for the analysis of gas mixtures. Using low-cost, non-selective gas sensors in combination with signal processing algorithm based on artificial neural networks, the prototype system is able to correctly classify three combustible gases (methane, isobutane, and hydrogen) and to indicate when the total gas concentration in the air exceeds a preset alarm point. The system is designed using LabVIEW and virtual instrumentation concept and is capable of performing online analysis of gas mixtures.
- Keywords:
- gas recognition, gas sensors, artificial neural networks, LabVIEW
- Download:
- IMEKO-TC4-2001-113.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC4
- Event name:
- TC4 Symposium 2001
- Title:
11th IMEKO TC4 Symposium on Trends in Electrical Measurements and Instrumentation (together with 6th IMEKO TC4 Workshop on ADC Modelling and Testing)
- Place:
- Lisbon, PORTUGAL
- Time:
- 13 September 2001 - 14 September 2001