Sinergi
Vol 25, No 1 (2021)

DIAGNOSIS OF INDUCTION MOTOR BEARING DEFECT USING DISCRETE WAVELET TRANSFORM AND ARTIFICIAL NEURAL NETWORK

Gigih Priyandoko (Department of Electrical Engineering, Faculty of Engineering, Universitas Widyagama)
Istiadi Istiadi (Department of Informatics, Faculty of Engineering, Universitas Widyagama)
Diky Siswanto (Department of Electrical Engineering, Faculty of Engineering, Universitas Widyagama)
Dedy Usman Effendi (Department of Electrical Engineering, Faculty of Engineering, Universitas Widyagama)
Eska Riski Naufal (Department of Electrical Engineering, Faculty of Engineering, Universitas Widyagama)

Article Info

Publish Date
05 Nov 2020

Abstract

Induction motor is electromechanical equipment that is widely used in various industrial applications. The research paper presents the detection of the defect to three-phase induction motor bearing using discrete wavelet transforms and artificial neural networks to detect whether or not the motor is damaged. An experimental test rig was made to obtain data on healthy phase currents or damaged bearings on the induction motor using the motor current signature analysis (MCSA) method. Several mother-level wavelets are chosen on the wavelet method from the obtained current signal. The feature of the wavelet results is used as an input of the Artificial Neural Network to classify the condition of the induction motor. The results showed that the system could provide an accurate diagnosis of the condition of the induction motor.

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Journal Info
Sinergi
Website

Abbrev

sinergi

Publisher

Universitas Mercu Buana

Subject

Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

Description

SINERGI is a peer-reviewed international journal published three times a year in February, June, and October. The journal is published by Faculty of Engineering, Universitas Mercu Buana. Each publication contains articles comprising high quality theoretical and empirical original research papers, ...