A predictive maintenance model using Long Short-Term Memory Neural Networks and Bayesian inference-Reference-Cited by-同舟云学术

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A predictive maintenance model using Long Short-Term Memory Neural Networks and Bayesian inference

Published:2023-03 Issue: Volume:6 Page:100174
ISSN:2772-6622
Container-title:Decision Analytics Journal
language:en
Short-container-title:Decision Analytics Journal

Author:

Pagano Davide^ORCID

Funder

Università degli Studi di Brescia

Publisher

Elsevier BV

Subject

Modeling and Simulation,Applied Mathematics,Analysis,General Decision Sciences

Reference56 articles.

1. 1 - impact of maintenance;Mobley,2002

2. Complete Guide To Predictive and Preventive Maintenance;Levitt,2011

3. Predictive maintenance in the industry 4.0: A systematic literature review;Zonta;Comput. Ind. Eng.,2020

4. A review on machinery diagnostics and prognostics implementing condition-based maintenance;Jardine;Mech. Syst. Signal Process.,2006

5. Adaptive prognostics for rolling element bearing condition;Li;Mech. Syst. Signal Process.,1999

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3. Predictive Maintenance for Gantry Crane Shafts: Enhancing Sensor Features With Dynamic Dual-Domain Competitive Attention GRU Autoencoder;IEEE Sensors Journal;2024-06-01

4. Opportunities in Neural Networks for Industry 4.0;Topics in Artificial Intelligence Applied to Industry 4.0;2024-04-05

5. Explainable Bayesian-Optimized XGBoost Model for Component Failure Detection in Predictive Maintenance;Advances in Logistics, Operations, and Management Science;2024-02-23

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