Magnetic In-Line Inspection of Pipelines: Some Problems of Defect Detection, Identification and Measurement

Automatic identification and estimation of pipeline defects natural and artificial art MFL in-line pipeline inspection by "intelligent pigs" have proved to be an actual and complex problem. Additional complications are caused by a difference between pipe types and by the defects clusters. Solution of this problem presumes some special properties of the applied software, either to its general architecture, as to the specific algorithms. It also supposes fine matching of algorithms and magnetic measurement system. These questions as well as some results of a real in-line inspection system will be discussed in the report. Special attention will be paid to the algorithms of defect identification and its classification, defects detection and measurement for defects clusters.