MATEC Web Conf.
Volume 182, 201817th International Conference Diagnostics of Machines and Vehicles
|Number of page(s)||8|
|Section||Diagnostics of Machines and Vehicles|
|Published online||30 July 2018|
Construction and tests of the research stand with built-in correctors for the detection of gas outflow from long pipelines
Faculty of Mechanical Engineering, Bialystok University of Technology, Wiejska 45C street, 15-351 Białystok, Poland
2 Air Force Institute of Technology, Księcia Bolesława 6 street, 01-494 Warszawa, Poland
Corresponding author: firstname.lastname@example.org
The localization and identification of small gas leaks from a damaged gas pipeline is a very important but at the same time problematic and difficult process to carry out. Quick identification, estimation and precise localization of the leak leads to minimizing the financial and equipment losses resulting from damage. The most commonly used continuous internal methods of leak identification are based on pressure and mass intensity measurements flow at various places in the pipeline. The article presents a description of the construction of a test stand characterized by the correctors built in it and the examples of the signals obtained from its tests for different values of simulated leaks. The results obtained will be used to develop a new method for identifying and locating leakages from long pipelines. This method is based on the cross power spectral density of measured pipeline standard signals (pressure and mass flow) and the membrane displacement signals delivered from the test equipment (correctors) connected to the system.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.