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Russian Journal of Nondestructive Testing
Published in: Russian Journal of Nondestructive Testing 11/2020

01-11-2020 | ELECTROMAGNETIC METHODS

Intelligence Systems for Quality Assessment of Threaded Surfaces and Flaw Monitoring Based on Digital Light Field Recording

Authors: Yu. Ol’t, V. V. Maksarov, V. E. Makhov

Published in: Russian Journal of Nondestructive Testing | Issue 11/2020

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Abstract

The topical issues of constructing an intelligence system for assessing the quality of processing threaded surfaces and testing for flaws when manufacturing critical products based on light field (LF) recording have been considered. Algorithms and methods have been developed for monitoring the main geometric parameters of the shape and of the surface defects in images obtained from a light field recorder by digitizing the images and morphologically analyzing image layers. An implementation is proposed for the developed algorithms on the platform of the National Instruments software using intelligence algorithms based on the principle of programmable logic. It has been shown that the accuracy of the results of determining the geometric characteristics with the proposed solutions allows one to diagnose technological equipment in the process of material machining.
previous article Imaging Electric Signals of a Magnetic Field Transducer with Hysteretic Interference for Testing Metals in Pulsed Magnetic Fields
next article Nondestructive Evaluation of Track and Haulage Ropes of Aerial Ropeway Installation in India—A Case Study

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Metadata
Title
Intelligence Systems for Quality Assessment of Threaded Surfaces and Flaw Monitoring Based on Digital Light Field Recording
Authors
Yu. Ol’t
V. V. Maksarov
V. E. Makhov
Publication date
01-11-2020
Publisher
Pleiades Publishing
Published in
Russian Journal of Nondestructive Testing / Issue 11/2020
Print ISSN: 1061-8309
Electronic ISSN: 1608-3385
DOI
https://doi.org/10.1134/S1061830920110054

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