A Topological and Neural Based Technique for Classification of Faults in Induction Machines

Kumar, Rahul R. and Cirrincione, Giansalvo and Cirrincione, Maurizio and Tortella, A. and Andriollo, M. (2018) A Topological and Neural Based Technique for Classification of Faults in Induction Machines. [Conference Proceedings]

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Abstract

This paper presents a data driven approach where at first the most significant features of the three phase current signal are analyzed and then a Curvilinear Component based analysis (CCA), which is a nonlinear manifold learning technique, is performed to compress and interpret the feature behaviour. Finally, a multi-layer perceptron network is used to develop a classifier. The effectiveness of the developed model is verified experimentally with data provided on-line and in real-time.

Item Type:	Conference Proceedings
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	School of Information Technology, Engineering, Mathematics and Physics (STEMP)
Depositing User:	Fulori Nainoca - Waqairagata
Date Deposited:	27 Jan 2021 00:03
Last Modified:	24 Nov 2022 22:04
URI:	https://repository.usp.ac.fj/id/eprint/12579

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