Prediction of mechanical equipment fault diagnosis based on IPSO-GRU deep learning algorithm

Publié en ligne: 30 sept. 2023

Reçu: 17 déc. 2022

Accepté: 10 avr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00424

Mots clés

Logistics machinery and equipment, Fault diagnosis, Second-order oscillatory particle swarm, Cyclic gate unit, IPSO-GRU model

© 2023 Peng Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.