Determination of classification characteristics of magnetic images for sorting of useful and noise signals during flaw detection in gas pipelines
Source abstract
Abstract
A new method of identification of useful and noise signals produced during magnetic inspection of gas pipelines is reported. Qualitative classification characteristics of the most common types of noise signals have been found. For the characteristics found, quantitative descriptions that are invariant with respect to rotation and scaling transformations were devised and decision rules were formulated. The use of the found characteristics ensures the minimum difference between results of automated and visual interpretation of data. Results of commercial use of this method are reported.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Non-Destructive Testing Techniques · Material Properties and Failure Mechanisms · Engineering Diagnostics and Reliability
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (2)
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1. Lavrent’ev, A. G., Study of Magnetic Noises of Even-Harmonic Magnetic-Modulation Transducers, Candidate (Phys. Math.) Dissertation, Sverdlovsk: Inst. of Met. Phys., Ural Div., Rus. Acad. of Sci., 1987.
2. Kanaikin, V. A., Matvienko, A. F., and Povagin, V. A., Automation of Expert Analysis of Diagnostic Data in the MFL Nondestructive Testing of Gas Pipelines, Defektoskopiya, 2007, no. 8, pp. 25–31 [Rus. J. Nondestr. Test. (Engl. Transl.), 2007, vol. 43, no. 8, pp. 510–514].10.1134/S1061830907080025 ↗