laser fluorescent method for monitoring leaks from petrol pipes based on the neural network algorithm

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ID: 250800
2014
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Abstract
Current systems for monitoring leaks from petrol pipes can detect large leaks only, and their sensitivity limit is about 1% of the whole petrol pipe’s capacity. In this paper, a problem of remote detection of small leaks (less than 1%) from petrol pipes was considered. One of possible variations of such a system is a monitoring system of oil pollution at the earth surface along the petrol pipe. In this paper experimentally obtained data such as fluorescence spectra of oil products (crude oil, light-end oil products, heavy oil products), various earth surfaces (soil, vegetation, water, asphalt) and oil products spilled over various earth's surface were used for the excitation wavelength of 266 nm. It was shown that use of the laser method based on detection of fluorescence radiation within three narrow spectral bands and a neural network algorithm of measured data processing allowed one to detect oil pollution on the earth surface with a probability of correct classification close to 1 and low probability of false alarm.
Reference Key
belov2014naukalaser Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;M. L. Belov;A. D. Shteingart;O. A. Matrosova;V. A. Gorodnichev
Journal BMJ open
Year 2014
DOI
10.7463/0114.0676410
URL
http://technomag.edu.ru/jour/article/view/453
Keywords
detection laser fluorescence spectra oil pollution applied mechanics computer hardwaremechanics of engineering neural network algorithmcomputer engineering

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