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

Data publikacji: 30 wrz 2023

Otrzymano: 17 gru 2022

Przyjęty: 10 kwi 2023

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

Słowa kluczowe

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.