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Condition monitoring on bearing faults of electric motor – Based on vibration signal

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Bibliographic Details
Main Author: Nur Akmaliza, Ali Raus
Other Authors: Mohd Noor Arib Md Rejab
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis 2012
Subjects:
Bearing
Rotating shaft
Vibration signal
Fan table motor
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/22276
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spelling my.unimap-222762012-12-11T14:05:17Z Condition monitoring on bearing faults of electric motor – Based on vibration signal Nur Akmaliza, Ali Raus Mohd Noor Arib Md Rejab Bearing Rotating shaft Vibration signal Fan table motor Access is limited to UniMAP community. The condition monitoring of rotating shaft is important in terms of system maintenance and process automation, especially for the bearing which is most common component in machines or apparatuses. In this project, a general model of faulty bearing based on vibration signal will be developed. The accelerometer is used to detect the frequency signals of vibration from new bearing, used bearing and bearing with artificial damage in fan table motor. The graph of frequency responses for different bearing conditions is plotted using Matlab Programming. This graph will be used to diagnose fault in bearings on the other fan table motor. 2012-12-11T14:05:16Z 2012-12-11T14:05:16Z 2009-04 Learning Object http://hdl.handle.net/123456789/22276 en Universiti Malaysia Perlis School of Mechatronic Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Bearing
Rotating shaft
Vibration signal
Fan table motor
spellingShingle Bearing
Rotating shaft
Vibration signal
Fan table motor
Nur Akmaliza, Ali Raus
Condition monitoring on bearing faults of electric motor – Based on vibration signal
description Access is limited to UniMAP community.
author2 Mohd Noor Arib Md Rejab
author_facet Mohd Noor Arib Md Rejab
Nur Akmaliza, Ali Raus
format Learning Object
author Nur Akmaliza, Ali Raus
author_sort Nur Akmaliza, Ali Raus
title Condition monitoring on bearing faults of electric motor – Based on vibration signal
title_short Condition monitoring on bearing faults of electric motor – Based on vibration signal
title_full Condition monitoring on bearing faults of electric motor – Based on vibration signal
title_fullStr Condition monitoring on bearing faults of electric motor – Based on vibration signal
title_full_unstemmed Condition monitoring on bearing faults of electric motor – Based on vibration signal
title_sort condition monitoring on bearing faults of electric motor – based on vibration signal
publisher Universiti Malaysia Perlis
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/22276
_version_ 1643791127988404224
score 13.214268

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