Unbalance failure recognition using recurrent neural network

• Main Authors: M. M., Ruslan, M. F., Hassan
• Format: Article
• Language: English
• Published: Penerbit Universiti Malaysia Pahang 2022
• Subjects: TJ Mechanical engineering and machinery; TK Electrical engineering. Electronics Nuclear engineering
• 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

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...