Fault classification in rolling element bearing using vibration monitoring

Ling, Kiong Chai (2001) Fault classification in rolling element bearing using vibration monitoring. [E-LPTA] (Unpublished)

[img] PDF
Fault classification in rolling element bearing...(24 pgs).pdf

Download (15MB)
[img] PDF (Please get the password from Digital Collection Development Unit, ext: 3932 / 3914)
Fault classification in rolling element bearing...(fulltext).pdf
Restricted to Registered users only

Download (50MB)

Abstract

This thesis entitled, "Fault classification in rolling element bearing using vibration monitoring" mainly focused on the vibration characteristic of different faults introduced intentionally on the rolling element bearings. The rolling element bearing used for this thesis experiment is called "Deep Groove Ball Bearing". The machine monitoring software and program tool used in this project is called SENTINEL Machine monitoring Software (Type 7107 - Version 4.0) and Brüel & Kjaer 2526 Series Data Collector System. The vibration monitoring diagnostic technique utilized in this project is called Selective Envelope Detection (SED) will be discussed in this thesis.

Item Type: E-LPTA
Additional Information: Project report (BSc.)--Universiti Malaysia Sarawak, 2001.
Uncontrolled Keywords: Ball-bearings, Roller bearings, vibration monitoring, Selective Envelope Detection (SED), unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, undergraduate, , research, Universiti Malaysia Sarawak.
Subjects: T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Gani
Date Deposited: 26 Dec 2018 03:45
Last Modified: 26 Dec 2018 03:45
URI: http://ir.unimas.my/id/eprint/22890

Actions (For repository members only: login required)

View Item View Item