Corrosion detection using labVIEW for robotic inspection of boiler headers

Nadiah Amalina Zulkifli, Khairul Salleh Mohamed Sahari, Adzly Anuar, Mohd Azwan Aziz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication8th International Conference on Robotic, Vision, Signal Processing and Power Applications
Subtitle of host publicationInnovation Excellence Towards Humanistic Technology
PublisherSpringer Verlag
Pages31-38
Number of pages8
ISBN (Print)9789814585415
DOIs
Publication statusPublished - 01 Jan 2014
Event8th International Conference on Robotic, Vision, Signal Processing and Power Applications, RoViSP 2013 - Penang, Malaysia
Duration: 10 Nov 201312 Nov 2013

Publication series

NameLecture Notes in Electrical Engineering
Volume291 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other8th International Conference on Robotic, Vision, Signal Processing and Power Applications, RoViSP 2013
CountryMalaysia
CityPenang
Period10/11/1312/11/13

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All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

Zulkifli, N. A., Mohamed Sahari, K. S., Anuar, A., & Aziz, M. A. (2014). Corrosion detection using labVIEW for robotic inspection of boiler headers. In 8th International Conference on Robotic, Vision, Signal Processing and Power Applications: Innovation Excellence Towards Humanistic Technology (pp. 31-38). (Lecture Notes in Electrical Engineering; Vol. 291 LNEE). Springer Verlag. https://doi.org/10.1007/978-981-4585-42-2_4