A sensitivity comparison of Neuro-fuzzy feature extraction methods from bearing failure signals

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A sensitivity comparison of Neuro-fuzzy feature extraction methods from bearing failure signals

This thesis presents an account of investigations made into building bearing fault classifiers for outer race faults (ORF), inner race faults (IRF), ball faults (BF) and no fault (NF) cases using wavelet transforms, statistical parameter features and Artificial Neuro-Fuzzy Inference Systems (ANFIS)....

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Bibliographic Details
Main Author:	Latuny, Jonny
Format:	Thesis
Language:	English
Published:	Curtin University 2013
Online Access:	http://hdl.handle.net/20.500.11937/458

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