Cover image for Blade fault diagnosis using artificial intelligence technique
Title:
Blade fault diagnosis using artificial intelligence technique
Physical Description:
xxvi, 143 pages : illustrations ; 30 cm
General Note:
Also available in CD-ROM : CP 062669 ra

Fulltext is available at http://dms.library.utm.my:8080

Supervisors : Prof. Dr. Mohd. Salman Leong, Ir. Dr. Lim Meng Hee
Added Corporate Author:
DSP_DISSERTATION:
Thesis (Ph.D (Kejuruteraan Mekanikal)) - Universiti Teknologi Malaysia, 2016

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32000000001628 XX(864101.1) Closed Access Thesis UTM PhD Thesis (Open Shelves)
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35000000025952 TJ267.5.B5 N48 2016 raf Closed Access Thesis UTM PhD Thesis (Closed Access)
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36000000001539 XX(864101.1) Closed Access Thesis UTM PhD Thesis (Open Shelves)
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