Automation of expert analysis of diagnostic data in the MFL nondestructive testing of gas pipelines
Source abstract
Abstract
A new flaw-detection technique for testing pipelines based on the data of magnetic in-tube inspection is considered. The technique uses the apparatus of contour analysis of discrete signals. An algorithm for minimization of the magnetic-image description length is proposed. Classification features for the main classes of recognized objects are developed. The solution of the problem of automated expertise of the in-tube testing is studied. The results of practical application of the developed technique are considered.
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 (7)
Show source-provided references
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