Prediction maintenance based on vibration analysis and deep learning — A case study of a drying press supported on a Hidden Markov Model-Reference-Cited by-同舟云学术

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Prediction maintenance based on vibration analysis and deep learning — A case study of a drying press supported on a Hidden Markov Model

Published:2024-09 Issue: Volume:163 Page:111885
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Martins Alexandre^ORCID,Fonseca Inácio^ORCID,Farinha José Torres^ORCID,Reis João^ORCID,Cardoso António J. Marques^ORCID

Publisher

Elsevier BV

Reference76 articles.

1. Optimizing the life cycle of physical assets – A review;Pais;WSEAS Trans. Syst. Control,2020

2. Optimizing the life cycle of physical assets through an integrated life cycle assessment method;Pais;Energies,2021

3. Predictive maintenance tools – a global survey;Rodrigues;WSEAS Trans. Syst. Control,2021

4. The role of industry 4 . 0 and BPMN in the arise of condition-based and predictive maintenance : A case study in the automotive industry;Fernandes;Appl. Sci.,2021

5. Calibration and certification of industrial sensors – a global review;Martins;WSEAS Trans. Syst. Control,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive Imputation of Irregular Truncated Signals with Machine Learning;Applied Sciences;2024-08-05

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