Blade fault diagnosis using artificial intelligence technique

W. K., Ngui (2016) Blade fault diagnosis using artificial intelligence technique. PhD thesis, Universiti Teknologi Malaysia (Contributors, Thesis advisor: Leong, Mohd Salman).

[img]
Preview
Pdf
Blade fault diagnosis using artificial intelligence technique.wm.pdf

Download (51MB) | Preview
Item Type: Thesis (PhD)
Additional Information: Thesis (Doctor of Philosphy (Mechanical Engineering)) -- Universiti Teknologi Malaysia - 2016, SV: PROF. DR. MOHD SALMAN LEONG, NO. CD: 11505
Uncontrolled Keywords: Artificial intelligence; Surface roughness; Machining
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division: Faculty of Mechanical & Manufacturing Engineering
Depositing User: Mrs. Sufarini Mohd Sudin
Date Deposited: 11 Jul 2019 02:02
Last Modified: 09 May 2023 07:34
URI: http://umpir.ump.edu.my/id/eprint/25335
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item