Temat: rurociąg gazowy - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Modeling the corrosive destruction of underground degassing pipelines
Autorzy:: Yegorchenko, Rostyslav
Yavorskyi, Andrii
Dyachkov, Pavel
Powiązania:: https://bibliotekanauki.pl/articles/27324354.pdf
Data publikacji:: 2023
Wydawca:: Instytut Techniki Górniczej KOMAG
Tematy:: degassing
underground vacuum gas pipeline
methane-air mixture
monitoring
corrosion
output
rurociąg gazowy
korozja
Opis:: The general frequency of development of pitting corrosion was established, taking into account the results of the analysis of mine waters and foreign materials, which are favorable conditions for theformation of corrosion of steel degassing pipelines. A base of initial data was created for modeling the corrosion process of a steel degassing gas pipeline at different points in time: the beginning of the corrosion process, its development, and the end of the process. Stress distribution, corrosion potential,as well as anodic and cathodic current densities depending on the size of the corrosion crack and the longitudinal deformation of the rocks of the sole of the production was analysed.Ithas been proven that the high level of corrosion processes of underground pipelines is the result of the interaction of the metal, which acts as an electrode, with groundwater, which acts as anelectrolyte, while the determining factors of the corrosion process are the electrical conductivity of the rocks of the bottom of the mine and the deformation processes in the pipelines. The reason of low service life of underground degassing pipelines, which are constantly exposed to mechanical and electrochemical corrosion, have been established.
Źródło:: Mining Machines; 2023, 41, 4; 220--230
2719-3306
Pojawia się w:: Mining Machines
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Fast leak detection and location of gas pipelines based on an adaptive particle filter
Autorzy:: Liu, M.
Zang, S.
Zhou, D.
Powiązania:: https://bibliotekanauki.pl/articles/908443.pdf
Data publikacji:: 2005
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: rurociąg gazowy
diagnozowanie wycieku
lokalizowanie wycieku
filtr cząsteczkowy
gas pipeline
leak detection and location
particle filter
Opis:: Leak detection and location play an important role in the management of a pipeline system. Some model-based methods, such as those based on the extended Kalman filter (EKF) or based on the strong tracking filter (STF), have been presented to solve this problem. But these methods need the nonlinear pipeline model to be linearized. Unfortunately, linearized transformations are only reliable if error propagation can be well approximated by a linear function, and this condition does not hold for a gas pipeline model. This will deteriorate the speed and accuracy of the detection and location. Particle filters are sequential Monte Carlo methods based on point mass (or “particle”) representations of probability densities, which can be applied to estimate states in nonlinear and non-Gaussian systems without linearization. Parameter estimation methods are widely used in fault detection and diagnosis (FDD), and have been applied to pipeline leak detection and location. However, the standard particle filter algorithm is not applicable to time-varying parameter estimation. To solve this problem, artificial noise has to be added to the parameters, but its variance is difficult to determine. In this paper, we propose an adaptive particle filter algorithm, in which the variance of the artificial noise can be adjusted adaptively. This method is applied to leak detection and location of gas pipelines. Simulation results show that fast and accurate leak detection and location can be achieved using this improved particle filter.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2005, 15, 4; 541-550
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki