Using clusterization principles for the selection of repair sections of main oil pipelines based on diagnostic data
2011 ◽
Vol 8
(1)
◽
pp. 201-210
Keyword(s):
The problem of determining the repair sections of the main oil pipeline is solved, basing on the classification of images using distance functions and the clustering principle, The criteria characterizing the cluster are determined by certain given values, based on a comparison with which the defect is assigned to a given cluster, procedures for the redistribution of defects in cluster zones are provided, and the cluster zones parameters are being changed. Calculations are demonstrating the range of defect density variation depending on pipeline sections and the universal capabilities of linear objects configuration with arbitrary density, provided by cluster analysis.
2011 ◽
Vol 34
(3)
◽
pp. 461-481
◽
Keyword(s):
2021 ◽
Vol 6
(2 (114))
◽
pp. 147-162
Keyword(s):
2012 ◽
Vol 468-471
◽
pp. 1585-1594
◽
Keyword(s):
2020 ◽
Vol 10
(6)
◽
pp. 586-598
Keyword(s):
1990 ◽
Vol 29
(03)
◽
pp. 200-204
◽