Unbalance failure recognition using recurrent neural network

Many machine learning models have been created in recent years, which focus on recognising bearings and gearboxes with less attention on detecting unbalance issues. Unbalance is a fundamental issue that frequently occurs in deteriorating machinery, which requires checking prior to significant faults...

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Bibliographic Details
Main Authors: M. M., Ruslan, M. F., Hassan
Format: Article
Language:English
Published: Penerbit Universiti Malaysia Pahang 2022
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/34604/1/Unbalance%20failure%20recognition%20using%20recurrent%20neural%20network.pdf
http://umpir.ump.edu.my/id/eprint/34604/
https://doi.org/10.15282/ijame.19.2.2022.04.0746
https://doi.org/10.15282/ijame.19.2.2022.04.0746
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