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JCR Impact Factor: 0.459
JCR 5-Year IF: 0.442
Issues per year: 4
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Next issue: May 2017
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Thomson Reuters published the Journal Citations Report for 2015. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.459, and the JCR 5-Year Impact Factor is 0.442.

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  2/2015 - 6

Consistency Analysis of Ultrasound Echoes within a Dual Symmetric Path Inspection Framework

VASILE, C. See more information about VASILE, C. on SCOPUS See more information about VASILE, C. on IEEExplore See more information about VASILE, C. on Web of Science, STAMATESCU, G. See more information about  STAMATESCU, G. on SCOPUS See more information about  STAMATESCU, G. on SCOPUS See more information about STAMATESCU, G. on Web of Science, SGARCIU, V. See more information about  SGARCIU, V. on SCOPUS See more information about  SGARCIU, V. on SCOPUS See more information about SGARCIU, V. on Web of Science, IOANA, C. See more information about IOANA, C. on SCOPUS See more information about IOANA, C. on SCOPUS See more information about IOANA, C. on Web of Science
 
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Download PDF pdficon (1,215 KB) | Citation | Downloads: 177 | Views: 1,003

Author keywords
non-destructive testing, automated inspection, matched filtering, echo analysis, signal processing

References keywords
ultrasound(8), ultrasonics(6), tuffc(6), frequency(6), ferroelectrics(6), control(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-05-31
Volume 15, Issue 2, Year 2015, On page(s): 45 - 50
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.02006
Web of Science Accession Number: 000356808900006
SCOPUS ID: 84979796984

Abstract
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Full text preview
Non-destructive ultrasound inspection of metallic structures is a perpetual high-interest area of research because of its well-known benefits in industrial applications, especially from an economic point of view, where detection and localisation of defects in their most initial stages can help maintain high production capabilities for any enterprise. This paper is aimed at providing further validation regarding a new technique for detecting and localising defects in metals, the Matched Filter-based Dual Symmetric Path Inspection (MF-DSPI). This validation consists in demonstrating the consistency of the useful ultrasound echoes, within the framework of the MF-DSPI. A description of the MF-DSPI method and the related work of the authors with it are presented in this paper, along with an experimental setup used to obtain the data with which the useful echo consistency was studied. The four proposed methods are: signal envelope analysis, L2-norm criterion, correlation coefficient criterion and sliding bounding rectangle analysis. The aim of this paper is to verify the useful echo consistency (with the help of these four approaches), as the MF-DSPI method strongly relies on this feature. The results and their implications are discussed in the latter portion of this study.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef] [Web of Science Times Cited 17]


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[CrossRef] [Web of Science Times Cited 168] [SCOPUS Times Cited 237]


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[CrossRef] [Web of Science Times Cited 111] [SCOPUS Times Cited 131]


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[CrossRef]


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[CrossRef]


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[CrossRef]


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[CrossRef] [SCOPUS Times Cited 12]


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[16] M. Bigdeli, M. Vakilian, E. Rahimpour, "A New Method for Detection and Evaluation of Winding Mechanical Faults in Transformer through Transfer Function Measurements", Advances in Electrical and Computer Engineering, pp. 23-30, Vol. 11, No. 2, 2011.
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References Weight

Web of Science® Citations for all references: 596 TCR
SCOPUS® Citations for all references: 597 TCR

Web of Science® Average Citations per reference: 30 ACR
SCOPUS® Average Citations per reference: 30 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2017-04-27 18:18 in 377 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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