Blade fault diagnosis using artificial intelligence technique
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2016
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Online Access: | http://umpir.ump.edu.my/id/eprint/25335/1/Blade%20fault%20diagnosis%20using%20artificial%20intelligence%20technique.wm.pdf |
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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 |
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1783732092870328320 |