Clustering of Frequency Spectrum from Different Bearing Fault using Principle Component Analysis

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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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Bibliographic Details
Main Authors:	Mohd Fadhlan, Mohd Yusof, C. K. E., Nizwan, S. A., Ong, M. Q. M., Ridzuan
Format:	Conference or Workshop Item
Language:	English English
Published:	2016
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/14337/ 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

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