Classification of gasoline with supplement of bio-products by means of an electronic nose and SVM neural network

In this paper we use the electronic nose measurement system in cooperation with the support vector machine (SVM) to the classification of the gasoline with the supplement of bio-products, such as ethanol, MTBE, ETBE and benzene. The array of semiconductor sensors forming the heart of the electronic nose, responds with a signal pattern characteristic for each gasoline blend type. The SVM network working in the classification mode processes these signals and associates them with an appropriate class. It will be shown that the proposed measurement system represents an excellent tool for the recognition of different types of the gasoline blends.