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

Pubblicato online: 30 set 2023

Ricevuto: 17 dic 2022

Accettato: 10 apr 2023

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

Parole chiave

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.