A two-dimensional fault diagnosis model of induction motors using a gabor filter on segmented images

This article was published in the International Journal of Control and Automation [© 2016 SERSC ] and the definite version is available at :http://dx.doi.org/10.14257/ijca.2016.9.1.02 The Journal's website is at:http://www.sersc.org/journals/IJCA/vol9_no1/2.pdf

Библиографические подробности
Главные авторы:	Uddin, Jia, Islam, Mr. Rashedul, Kim, Jong-Myon, Kim, Cheol-Hong
Другие авторы:	Department of Computer Science and Engineering, BRAC University
Формат:	Статья
Язык:	English
Опубликовано:	© 2016 Science and Engineering Research Support Society 2016
Предметы:	Acoustic emission Fault diagnosis Gabor filter Induction motor
Online-ссылка:	http://hdl.handle.net/10361/7001 http://www.sersc.org/journals/IJCA/vol9_no1/2.pdf http://dx.doi.org/10.14257/ijca.2016.9.1.02

id	10361-7001
record_format	dspace
spelling	10361-70012016-11-28T04:19:17Z A two-dimensional fault diagnosis model of induction motors using a gabor filter on segmented images Uddin, Jia Islam, Mr. Rashedul Kim, Jong-Myon Kim, Cheol-Hong Department of Computer Science and Engineering, BRAC University Acoustic emission Fault diagnosis Gabor filter Induction motor This article was published in the International Journal of Control and Automation [© 2016 SERSC ] and the definite version is available at :http://dx.doi.org/10.14257/ijca.2016.9.1.02 The Journal's website is at:http://www.sersc.org/journals/IJCA/vol9_no1/2.pdf Image segmentation has received extensive attention due to the use of high-level descriptions of image content. This paper proposes a fault diagnosis model using a Gabor filter on segmented two-dimensional (2D) gray-level images. The proposed approach first converts time domain AE signals into 2D gray-level images to exploit texture information from the converted images. 2D discrete wavelet transform (DWT) is then applied to select appropriate (vertical) texture information and reconstructed it into an image. The reconstructed image is segmented into a number of sub-images depending on the segment size and a Gabor filter is applied on each sub-image. Finally, feature vectors are extracted from the Gabor-filtered sub-images and utilized as inputs in a one-against-all multiclass support vector (OAA-MCSVM) to identify each fault in an induction motor. In this study, multiple bearing defects under various segment sizes are utilized to validate the effectiveness of the proposed method. Experimental results indicate that the proposed model outperforms conventional Gabor-filter-based 2D fault diagnosis algorithms in classification accuracy, exhibiting a 97 % average classification accuracy for 64×64 segmented images. Published 2016-11-28T04:02:16Z 2016-11-28T04:02:16Z 2016 Article Uddin, J., Islam, M. R., Kim, J. -., & Kim, C. -. (2016). A two-dimensional fault diagnosis model of induction motors using a gabor filter on segmented images. International Journal of Control and Automation, 9(1), 11-22. doi:10.14257/ijca.2016.9.1.02 20054297 http://hdl.handle.net/10361/7001 http://www.sersc.org/journals/IJCA/vol9_no1/2.pdf http://dx.doi.org/10.14257/ijca.2016.9.1.02 en © 2016 Science and Engineering Research Support Society
institution	Brac University
collection	Institutional Repository
language	English
topic	Acoustic emission Fault diagnosis Gabor filter Induction motor
spellingShingle	Acoustic emission Fault diagnosis Gabor filter Induction motor Uddin, Jia Islam, Mr. Rashedul Kim, Jong-Myon Kim, Cheol-Hong A two-dimensional fault diagnosis model of induction motors using a gabor filter on segmented images
description	This article was published in the International Journal of Control and Automation [© 2016 SERSC ] and the definite version is available at :http://dx.doi.org/10.14257/ijca.2016.9.1.02 The Journal's website is at:http://www.sersc.org/journals/IJCA/vol9_no1/2.pdf
author2	Department of Computer Science and Engineering, BRAC University
author_facet	Department of Computer Science and Engineering, BRAC University Uddin, Jia Islam, Mr. Rashedul Kim, Jong-Myon Kim, Cheol-Hong
format	Article
author	Uddin, Jia Islam, Mr. Rashedul Kim, Jong-Myon Kim, Cheol-Hong
author_sort	Uddin, Jia
title	A two-dimensional fault diagnosis model of induction motors using a gabor filter on segmented images
title_short	A two-dimensional fault diagnosis model of induction motors using a gabor filter on segmented images
title_full	A two-dimensional fault diagnosis model of induction motors using a gabor filter on segmented images
title_fullStr	A two-dimensional fault diagnosis model of induction motors using a gabor filter on segmented images
title_full_unstemmed	A two-dimensional fault diagnosis model of induction motors using a gabor filter on segmented images
title_sort	two-dimensional fault diagnosis model of induction motors using a gabor filter on segmented images
publisher	© 2016 Science and Engineering Research Support Society
publishDate	2016
url	http://hdl.handle.net/10361/7001 http://www.sersc.org/journals/IJCA/vol9_no1/2.pdf http://dx.doi.org/10.14257/ijca.2016.9.1.02
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A two-dimensional fault diagnosis model of induction motors using a gabor filter on segmented images

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