Clustering of Frequency Spectrum from Different Bearing Fault using Principle Component Analysis
In this paper, the application of principle component analysis (PCA) as a pre-processing method for hierarchical clustering analysis on the frequency spectrum of the vibration signal was proposed. To achieve the aim, the vibration signal was acquired from the operating bearings with different condit...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2016
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/14337/1/Clustering%20of%20Frequency%20Spectrum%20from%20Different%20Bearing%20Fault%20using%20Principle%20Component%20Analysis..pdf http://umpir.ump.edu.my/id/eprint/14337/7/fkm-2016-M.F.M.Yusof-Clustering%20of%20Frequency.pdf http://umpir.ump.edu.my/id/eprint/14337/ |
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Internet
http://umpir.ump.edu.my/id/eprint/14337/1/Clustering%20of%20Frequency%20Spectrum%20from%20Different%20Bearing%20Fault%20using%20Principle%20Component%20Analysis..pdfhttp://umpir.ump.edu.my/id/eprint/14337/7/fkm-2016-M.F.M.Yusof-Clustering%20of%20Frequency.pdf
http://umpir.ump.edu.my/id/eprint/14337/