10.14489/td.2016.08.pp.030-033

2016, 08 August

DOI: 10.14489/td.2016.08.pp.030-033

Slesarev D.A., Belaia A.V.
AUTOMATED CLASSIFICATION OF PIPELINE STRUCTURAL COMPONENTS ON THE BASE MFL IN-LINE INSPECTION
(pp. 30-33)

Abstract. The article is devoted to the problem of pipeline structural components identification. This is an actual problem because, on the one hand, structural components can act as reference marks for verification of defect location, on the other hand, structural components cause often false calls. Typical C-scan of such components as pipebends, T-bends and sliding valves is shown on figures. A set of morfometrical image features and standard signal features are proposed as a basis for structural component identification from MFL in-line inspection data. Statistical discriminant method is used to identify pipe-bends, T-bends and sliding valves. Proposed algorithm has applied to test data from MFL inspection of two short pipeline branches made by means of VID219 MFL instrument. The Algorithm has given correct classification results.

Keywords: in-line pipeline diagnostics, MFL non-destructive testing, image recognition, signal processing.

+ - About the Authors Click to collapse

D. A. Slesarev (INTRON PLUS, Moscow, Russia)
A. B. Belaia (INTRON VTD, Moscow, Russia)

+ - References Click to collapse

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