Beta
ManageSearchChatDiscover
102839

Classification of Welding Defects Using Gray Level Histogram Techniques via Neural Network.

Article

Last updated: 22 Jan 2023

OverviewSimilar Items

Subjects

-

Tags

Production Engineering and Mechanical Design

Abstract

 Technological development accompanied the need to get a high-quality welding. The important industries such as oil and auto industries and other important industries need to rely on reliable welding operations; collapse as a result of this welding may mean a great loss in lives and money. This paper aimed to produce an automatic system to detect, recognize and classify welding cases (defects and no defects) in radiography images was described depending upon image histogram technique. Two main steps to do that, In the  first step, image processing techniques, including converting color images to gray scale, filtering image, and resizing were implemented to help in the image array of weld images and the detection of weld defects. The second step, a proposed program was build in-house depending upon Matlab to classify and recognize automatically six types of weld defects met in practice, it is Porosity – Undercut – Lac of fusion – Crack – Slag –Cavity, plus the non-defect type. It was clear from the results that it can rely on this method significantly, reaching rates as well as the appointment of defects and no defects to about 94.3%.

DOI

10.21608/bfemu.2020.102839

Keywords

Welding Defects, Neural network, Computer Vision, X, ray, Image histogram

Authors

First Name

Wael

Last Name

Khalifa

MiddleName

-

Affiliation

Production Engineering and Mechanical Design Department, Faculty of Engineering, Mansoura University, 35516 Mansoura, Egypt

Email

waelmak2000@yahoo.com

City

-

Orcid

-

First Name

Ossama

Last Name

Abouelatta

MiddleName

-

Affiliation

Production Engineering and Mechanical Design Department, Faculty of Engineering, Mansoura University, 35516 Mansoura, Egypt

Email

abouelatta@mans.edu.eg

City

-

Orcid

0000-0003-2340-1264

First Name

Elamir

Last Name

Gadelmawla

MiddleName

-

Affiliation

Production Engineering and Mechanical Design Department, Faculty of Engineering, Mansoura University, 35516 Mansoura, Egypt

Email

esamy@mans.edu.eg

City

-

Orcid

-

First Name

Ibrahim

Last Name

Elewa

MiddleName

-

Affiliation

Production Engineering and Mechanical Design Department, Faculty of Engineering, Mansoura University, 35516 Mansoura, Egypt

Email

-

City

-

Orcid

-

Volume

39

Article Issue

4

Related Issue

15538

Issue Date

2014-12-01

Receive Date

2014-09-24

Publish Date

2020-07-14

Page Start

1

Page End

13

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 39_Issue 4_Pages 1-13.pdf

PDF . 930.2kB

Link

https://bfemu.journals.ekb.eg/article_102839.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=102839

Order

11

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023