10.14489/td.2018.03.pp.016-027

2018, 03 March

DOI: 10.14489/td.2018.03.pp.016-027

Markov A. A., Antipov A. G., Karelin M. V.
RELIABILITY OF AUTOMATED RECOGNITION OF MFL SIGNALS FROM RAIL TRACK STRUCTURE ELEMENTS
(pp. 16-27)

Abstract. In the recent years in the rail non-destructive testing much attention is given to automated NDT data processing. A realization of automated processing considerably increases a speed of NDT data interpretation. The accuracy of data interpretation is also improved due to human element elimination. Magnetic Flux Leakage (MFL) is a known method of rail inspection. The sensors scan a surface of previously magnetized rail for magnetic field distortions caused by inner flaws in the ferromagnetic material. The MFL data is rather suitable for automated processing because of high signal reproducibility. This allows to assign common classifying characteristics of rail structure signals and to assume the said characteristics as a basis of automated recognition system. The automated MFL data processing system is an integral part of rail inspection vehicle Avikon 03M software. The rail track structure elements such as bolted joints, weld joints, which give the most of signals on defectogram are automatically recognized and the residual significant signals are treated as the evidences of rail defect presence. So the effectiveness of the automated data processing system reduces to the correct rail track elements recognition. In this paper we estimate the reliability of rail track structure elements recognition obtained with the existing version of automated MFL data processing system. The estimation is based on representative sampling of data recorded by different inspection vehicles at various environmental conditions. The collected statistics show the high level of correct bolted joint and rail switch detection. The further ways to raise the recognition reliability are discussed. Particularly the improvements of the weld joint recognition using the regularity characteristic are proposed, which is increasing the reliability of correct weld joint detection up to 30 %.

Keywords: rail NDT, magnetic flux leakage, MFL, inspection vehicle, rail track structure elements, weld joints, automated signal processing.

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A. A. Markov, A. G. Antipov, M. V. Karelin (Radioavionica Corporation, St. Petersburg, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. , Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. , Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

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DOI: 10.14489/td.2018.03.pp.016-027

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