Identification of Plastic Deformations in Carbon Steel Elements Using the Filtered Barkhausen Noise Signal

Jacek Dybała , Krzysztof Nadulicz

Abstract

The paper presents new approach to processing the Barkhausen Noise signal in order to detect and identify plastic deformations in carbon steel. A new automatic method of Barkhausen effect signal filtration was investigated. Apart from a classical measurement of Barkhausen effect signal, for which the RMS value is assumed, the signal waveform factor was also used in analyzes. The developed approach to processing the Barkhausen Noise signal has made it possible to obtain more useful diagnostic data than those obtained from the raw signal.
Author Jacek Dybała (FACME / IAE)
Jacek Dybała,,
- Institute of Automotive Engineering
, Krzysztof Nadulicz
Krzysztof Nadulicz,,
-
Journal seriesVibrations in Physical Systems, ISSN 0860-6897
Issue year2020
Vol31
No1
Pages1-8
Publication size in sheets0.5
Keywords in Englishnon-destructive evaluation, plastic deformation, Barkhausen Noise, signal processing
ASJC Classification2211 Mechanics of Materials
URL http://vibsys.put.poznan.pl/_journal/2020-31-1/articles/vibsys_2020106.pdf
Languageen angielski
Score (nominal)40
Score sourcejournalList
ScoreMinisterial score = 40.0, 02-07-2020, ArticleFromJournal
Publication indicators Scopus Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.51
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