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Corrosion detection using labVIEW for robotic inspection of boiler headers

Boiler header is the backbone of piping system inside thermal power plant which is used to tie multiple steam mains to one boiler. It is important to check the header for any signs of defects. This paper presents an image based approach to detect cracks and corrosions inside a boiler header using La...

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Main Authors: Zulkifli N.A., Sahari K.S.M., Anuar A., Aziz M.A.
Other Authors: 56158296500
Format: Conference Paper
Published: Springer Verlag 2023
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id my.uniten.dspace-22156
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spelling my.uniten.dspace-221562023-05-16T10:47:55Z Corrosion detection using labVIEW for robotic inspection of boiler headers Zulkifli N.A. Sahari K.S.M. Anuar A. Aziz M.A. 56158296500 57218170038 13609166500 57222438013 Boiler header is the backbone of piping system inside thermal power plant which is used to tie multiple steam mains to one boiler. It is important to check the header for any signs of defects. This paper presents an image based approach to detect cracks and corrosions inside a boiler header using LabVIEW software. After an image of the boiler header inner wall is captured, thresholding technique is applied to manage background variation of the acquired image. Then, the boundaries of the corroded area are identified by using edge detection algorithm. The last step is to apply particle analysis for parameters measurement. Experiments are carried out on a 360° view of a cross-section of a boiler header for inspecting the surface defects of the boiler headers. The result from the experiment shows a reasonable success rate of correctly identifying corrosion inside the header. © 2014 Springer Science+Business Media Singapore. Final 2023-05-16T02:47:54Z 2023-05-16T02:47:54Z 2014 Conference Paper 10.1007/978-981-4585-42-2_4 2-s2.0-84900476582 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84900476582&doi=10.1007%2f978-981-4585-42-2_4&partnerID=40&md5=26915e8691d41ddba9b5c78146fb7343 https://irepository.uniten.edu.my/handle/123456789/22156 291 LNEE 31 38 Springer Verlag Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Boiler header is the backbone of piping system inside thermal power plant which is used to tie multiple steam mains to one boiler. It is important to check the header for any signs of defects. This paper presents an image based approach to detect cracks and corrosions inside a boiler header using LabVIEW software. After an image of the boiler header inner wall is captured, thresholding technique is applied to manage background variation of the acquired image. Then, the boundaries of the corroded area are identified by using edge detection algorithm. The last step is to apply particle analysis for parameters measurement. Experiments are carried out on a 360° view of a cross-section of a boiler header for inspecting the surface defects of the boiler headers. The result from the experiment shows a reasonable success rate of correctly identifying corrosion inside the header. © 2014 Springer Science+Business Media Singapore.
author2 56158296500
author_facet 56158296500
Zulkifli N.A.
Sahari K.S.M.
Anuar A.
Aziz M.A.
format Conference Paper
author Zulkifli N.A.
Sahari K.S.M.
Anuar A.
Aziz M.A.
spellingShingle Zulkifli N.A.
Sahari K.S.M.
Anuar A.
Aziz M.A.
Corrosion detection using labVIEW for robotic inspection of boiler headers
author_sort Zulkifli N.A.
title Corrosion detection using labVIEW for robotic inspection of boiler headers
title_short Corrosion detection using labVIEW for robotic inspection of boiler headers
title_full Corrosion detection using labVIEW for robotic inspection of boiler headers
title_fullStr Corrosion detection using labVIEW for robotic inspection of boiler headers
title_full_unstemmed Corrosion detection using labVIEW for robotic inspection of boiler headers
title_sort corrosion detection using labview for robotic inspection of boiler headers
publisher Springer Verlag
publishDate 2023
_version_ 1806427956998832128
score 13.222552

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