The h-EXIN CCA for Bearing Fault Diagnosis

Cirrincione, G. and Delgado, M. and Cirrincione, Maurizio (2014) The h-EXIN CCA for Bearing Fault Diagnosis. [Conference Proceedings]

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Abstract

This paper presents the hierarchical EXIN CCA,
which represents a novel and reliable approach to complex
pattern recognition problems. The methodology is based on the
EXIN CCA, which is an extension of the Curvilinear Component
Analysis, for data reduction, and neural networks for data
classification. The effectiveness of this condition monitoring
scheme is verified in a demanding bearing fault diagnostic
scenario.

Item Type:	Conference Proceedings
Subjects:	Q Science > QC Physics T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
Depositing User:	Repo Editor
Date Deposited:	20 Sep 2016 04:15
Last Modified:	20 Sep 2016 04:15
URI:	https://repository.usp.ac.fj/id/eprint/8526

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