Blade fault diagnosis using artificial intelligence technique

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Bibliographic Details
Main Author:	W. K., Ngui
Format:	Thesis
Language:	English
Published:	2016
Subjects:	TA Engineering (General) Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/25335/1/Blade%20fault%20diagnosis%20using%20artificial%20intelligence%20technique.wm.pdf
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id	my-ump-ir.25335
record_format	uketd_dc
spelling	my-ump-ir.253352023-05-09T07:34:17Z Blade fault diagnosis using artificial intelligence technique 2016-11 W. K., Ngui TA Engineering (General). Civil engineering (General) 2016-11 Thesis http://umpir.ump.edu.my/id/eprint/25335/ http://umpir.ump.edu.my/id/eprint/25335/1/Blade%20fault%20diagnosis%20using%20artificial%20intelligence%20technique.wm.pdf pdf en public phd doctoral Universiti Teknologi Malaysia Faculty of Mechanical Engineering Leong, Mohd Salman
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
collection	UMPSA Institutional Repository
language	English
advisor	Leong, Mohd Salman
topic	TA Engineering (General) Civil engineering (General)
spellingShingle	TA Engineering (General) Civil engineering (General) W. K., Ngui Blade fault diagnosis using artificial intelligence technique
description
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	W. K., Ngui
author_facet	W. K., Ngui
author_sort	W. K., Ngui
title	Blade fault diagnosis using artificial intelligence technique
title_short	Blade fault diagnosis using artificial intelligence technique
title_full	Blade fault diagnosis using artificial intelligence technique
title_fullStr	Blade fault diagnosis using artificial intelligence technique
title_full_unstemmed	Blade fault diagnosis using artificial intelligence technique
title_sort	blade fault diagnosis using artificial intelligence technique
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Mechanical Engineering
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/25335/1/Blade%20fault%20diagnosis%20using%20artificial%20intelligence%20technique.wm.pdf
_version_	1783732092870328320

Blade fault diagnosis using artificial intelligence technique

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