Optimization of temperature programmed sensing for gas identification using micro-hotplate sensors

摘要: Abstract Micro-hotplate chemical gas sensors, such as those being developed at the National Institute of Standards and Technology (NIST) by micromachining Si, can be operated in a temperature-pulsed mode, due to their small size mass. In mode operation, different gases give dynamic responses (i.e. signatures) depending on temperature program used. this paper new methodology is presented optimize operation micro-hotplate sensors for discriminating volatile organic compounds fixed concentration, while minimizing detection time. The extension cases where concentrations vary currently under investigation. Wavelet Network method applied accurately predict sensor’s response given profile. Once model obtained, it used off-line optimization profile, i.e. maximization difference between two signatures. curves was initially measured metric based Euclidean distance. This then modified using Haar wavelet transformation. implemented case study which either methanol or ethanol had detected air, but generic, any gases.