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

Publicado en línea: 30 sept 2023

Recibido: 17 dic 2022

Aceptado: 10 abr 2023

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

Palabras clave

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.