Blade fault diagnosis using artificial intelligence technique

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主要作者: W. K., Ngui
格式: Thesis
语言:English
出版: 2016
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在线阅读:http://umpir.ump.edu.my/id/eprint/25335/1/Blade%20fault%20diagnosis%20using%20artificial%20intelligence%20technique.wm.pdf
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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