Klepach M. Method and technical means of the oil products quality indicators control using the neural networks technologies

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0415U005621

Thesis Registration Form

0415U005621.pdf

Applicant for

Specialization

  • 05.11.13 - Прилади і методи контролю та визначення складу речовин

02-10-2015

Specialized Academic Board

Д 20.052.03

Ivano-Frankivsk National University of Oil and Gas

Essay

The developed automated measuring control method of oil products quality indicators is based on measuring the viscosity and density of petroleum products by hydrodynamic method and based on it further determination of motor gasoline octane number (ON), cetane number (CN) and index (CI) of diesel fuel by means of artificial neural networks (ANN). The block diagram of the automated measuring control systems (AMCS) for petroleum products quality characteristics was developed. The results of research of static and dynamic characteristics AMCS, algorithms and software for definition process of oil products quality indicators are represented.

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Files

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