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

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

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...

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Bibliographic Details
Main Authors: Gigih Priyandoko, Istiadi Istiadi, Diky Siswanto, Dedy Usman Effendi, Eska Riski Naufal
Format: Article
Language:English
Published: Universitas Mercu Buana 2020-11-01
Series:Jurnal Ilmiah SINERGI
Subjects:
artificial neural network
bearing
discrete wavelet transform
fault diagnosis
Online Access:https://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/8155

Internet

https://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/8155

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