Study of Fuel Quality in the State of Maranhão Through Principal Component Analysis

Resumo

This study evaluated the quality of S10 and S500 diesel sold in the state of Maranhão, using data from the National Petroleum Agency (ANP) and the Principal Component Analysis (PCA) technique, to identify patterns in quality indicators. PCA simplified the data, highlighting the most relevant characteristics that influence diesel quality. The results revealed relationships between indicators and groups of samples with similar characteristics, which can be helpful for fuel monitoring. The research demonstrated that PCA is an effective tool to assist in the assessment and control of fuel quality, highlighting the importance of continuous monitoring and advanced statistical analysis in determining fuel quality.