Improving Predictive Maintenance Performance Using Machine Learning and Vibration Analysis Algorithms

This research examines advanced machine learning techniques utilized for the predictive maintenance of industrial machinery. A hybrid model combining long-term memory networks (LSTM) and gated recurrent unit (GRU) networks alongside a random forest classifier has been created utilizing vibration dat...

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Egile Nagusiak:	Ibtissam Elharnaf, Khadija Achtaich, Samir Tetouani
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2025-07-01
Saila:	Engineering Proceedings
Gaiak:	predictive maintenance machine learning vibration analysis LSTM GRU random forest
Sarrera elektronikoa:	https://www.mdpi.com/2673-4591/97/1/45
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Improving Predictive Maintenance Performance Using Machine Learning and Vibration Analysis Algorithms

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