Electronic nose simulation tool centred on PSpice

摘要: Electronic noses consist of an array non-selective gas sensors with a pattern recognition engine. The and methods depend on the specific application. design process electronic usually involves time-consuming measurements in non-standard trial error process. This paper addresses problem by using nose simulation tool centred PSpice. Using previously developed generic PSpice models for response sensors, four-element tin oxide sensor was simulated. model parameters were adjusted calibrated data from ethanol, methane their mixtures, detected real sensors. To study performance array, statistical modelling simulations used Monte Carlo analysis coupled principal component analysis. results show that this strategy is useful analysing effects sampling errors, changes operation temperature, random errors drift. importance these discussed terms discrimination ability. We conclude can help to systematise noses.