Magnetic Flux Leakage Sensing and Artificial Neural Network Pattern Recognition-Based Automated Damage Detection and Quantification for Wire Rope Non-Destructive Evaluation

In this study, a magnetic flux leakage (MFL) method, known to be a suitable non-destructive evaluation (NDE) method for continuum ferromagnetic structures, was used to detect local damage when inspecting steel wire ropes. To demonstrate the proposed damage detection method through experiments, a mul...

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Bibliographic Details

Published in:	Sensors (Basel, Switzerland) Vol. 18; no. 1; p. 109
Main Authors:	Kim, Ju-Won, Park, Seunghee
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 02.01.2018 MDPI
Subjects:	Automation Neural networks Pattern recognition Sensors Signal processing magnetic flux leakage artificial neural network damage quantification signal processing steel wire rope inspection
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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