An open source experimental framework and public dataset for vibration-based fault diagnosis of electrical submersible pumps used on offshore oil exploration-Reference-Cited by-同舟云学术

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An open source experimental framework and public dataset for vibration-based fault diagnosis of electrical submersible pumps used on offshore oil exploration

Published:2024-03 Issue: Volume:288 Page:111452
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Varejão Flávio Miguel^ORCID,Sousa Mello Lucas Henrique^ORCID,Pellegrini Ribeiro Marcos^ORCID,Oliveira-Santos Thiago^ORCID,Loureiros Rodrigues Alexandre

Funder

Conselho Nacional de Desenvolvimento Cientifico e Tecnologico

Publisher

Elsevier BV

Reference40 articles.

1. UCI Machine Learning Repository;Dua,2019

2. Prognostics Data Repository;NASA,2017

3. The latest mendeley data datasets for journal of petroleum science and engineering;JPSE,2020

4. Bearing Data Set;Lee,2007

5. Case western reserve university, bearing data center;CWRU,2014

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. Fault diagnosis of monoblock centrifugal pumps using pre-trained deep learning models and scalogram images;Engineering Applications of Artificial Intelligence;2024-10

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