Title :
Quantitative signal processing algorithms for low cost methane and carbon monoxide detectors
Author :
Sundic, T. ; Marco, S. ; Pardo, A. ; Ortega, A. ; Ortiz, M. ; Samitier, Josep
Author_Institution :
Dept. of Electron., Barcelona Univ., Spain
Abstract :
Natural gas and carbon monoxide domestic detectors available in the market present serious deficiencies in terms of selectivity. Their problems result in a high percentage of false alarms. A possible solution of this problem is to improve the performance by means of signal processing. The authors present the work carried out towards the improvement of signal processing in quantitative analysis. in this paper we present the results obtain by some quantitative algorithms together with their application examples focused in the selective detection of methane and carbon
Keywords :
automatic test equipment; calibration; carbon compounds; chemical analysis; gas sensors; organic compounds; polynomials; signal processing; CO; CO sensor; SnO2; SnO2 sensor; calibration; cross model; domestic detectors; false alarms; methane detectors; polynomials; quantitative algorithms; quantitative analysis; quantitative signal processing; selective detection; selectivity; Costs; Gas detectors; Gases; Intelligent sensors; Laboratories; Sensor arrays; Signal processing algorithms; Temperature sensors; Testing; Thin film sensors;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE
Conference_Location :
Venice
Print_ISBN :
0-7803-5276-9
DOI :
10.1109/IMTC.1999.776788
