Estimation of petrol adulteration using statistical feature analysis approach

Abstract

Fuel adulteration has become a very important and global issues nowadays. For overall development of the country transportation facilities must be better which depends on quality and purity of fuel. Adulteration or mixing of various substances causing degradation and reducing the quality of fuel has become an important issues nowadays, due to which overall economy of the country is down. Due to altering the properties of fuel, it doesn't meet the specifications as per requirement. The proposed system is based on Statistical analysis of the data samples. The system is based on Image analysis by which various parameters are calculated. The Existing systems are quite tedious and time consuming. Kerosene and diesel are the adulterants used in petrol. Fuel-adulterant mixtures in different proportions by volume were prepared and individually tested. The mixtures were administered to vehicles and the tail pipe exhaust emission drastically increased. There is considerable change in psnr (Peak Signal to Noise Ratio), and Histogram plot shows the differences of Standard and adulterated concentrations. The proposed system results are validated against Laboratory Tests.