Time windows: The key to improving the early detection of fuel leaks in petrol stations
Abstract
In this paper, the authors propose the use of time windows to improve the detection of fuel leaks in petrol stations. They employ two-class supervised classifiers that work with feature sets containing representative variables taken from station inventory books that indicate the presence of leaks. Fuel leaks in petrol stations with underground tanks pose a serious problem from an environmental standpoint. Large leaks are very evident, and are...
Paper Details
Title
Time windows: The key to improving the early detection of fuel leaks in petrol stations
Published Date
Oct 1, 2020
Journal
Volume
130
Pages
104874 - 104874
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