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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/22276
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nur Akmaliza, Ali Raus | - |
dc.date.accessioned | 2012-12-11T14:05:16Z | - |
dc.date.available | 2012-12-11T14:05:16Z | - |
dc.date.issued | 2009-04 | - |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/22276 | - |
dc.description | Access is limited to UniMAP community. | en_US |
dc.description.abstract | 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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis | en_US |
dc.subject | Bearing | en_US |
dc.subject | Rotating shaft | en_US |
dc.subject | Vibration signal | en_US |
dc.subject | Fan table motor | en_US |
dc.title | Condition monitoring on bearing faults of electric motor – Based on vibration signal | en_US |
dc.type | Learning Object | en_US |
dc.contributor.advisor | Mohd Noor Arib Md Rejab | en_US |
dc.publisher.department | School of Mechatronic Engineering | en_US |
Appears in Collections: | School of Mechatronic Engineering (FYP) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
References and appendix.pdf | 463.51 kB | Adobe PDF | View/Open | |
Conclusion.pdf | 127.12 kB | Adobe PDF | View/Open | |
Results and discussion.pdf | 253.42 kB | Adobe PDF | View/Open | |
Methodology.pdf | 285.5 kB | Adobe PDF | View/Open | |
Literature review.pdf | 223.18 kB | Adobe PDF | View/Open | |
Introduction.pdf | 143.11 kB | Adobe PDF | View/Open | |
Abstract, Acknowledgement.pdf | 159.52 kB | Adobe PDF | View/Open |
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