Blade fault diagnosis using artificial intelligence technique
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
2016
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://umpir.ump.edu.my/id/eprint/25335/1/Blade%20fault%20diagnosis%20using%20artificial%20intelligence%20technique.wm.pdf |
| الوسوم: |
إضافة وسم
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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 |