Estimation of petrol adulteration using statistical feature analysis approach

Pranjali P. Dharurkar, A. Wadhekar
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引用次数: 3

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.
用统计特征分析法估计汽油掺假
燃油掺假已成为当今世界一个非常重要的全球性问题。为了国家的整体发展,交通设施必须更好,这取决于燃料的质量和纯度。各种物质的掺假或混合导致燃料的降解和降低质量已经成为当今的一个重要问题,由于这个国家的整体经济下降。由于改变了燃料的性质,使其不符合要求的规格。该系统基于对数据样本的统计分析。该系统以图像分析为基础,通过图像分析计算各种参数。现有的系统相当繁琐和耗时。煤油和柴油是汽油中使用的掺假物。制备了不同体积比例的燃料掺假混合物,并分别进行了试验。车辆使用后,尾气排放急剧增加。psnr(峰值信噪比)有相当大的变化,直方图显示了标准浓度和掺假浓度的差异。提出的系统结果通过实验室测试进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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