Analysis of unsupervised learning methods for automated clustering of equipment downtime reports-Reference-Cited by-同舟云学术

Analysis of unsupervised learning methods for automated clustering of equipment downtime reports

Published:2022-09-26 Issue:2022 Volume:22 Page:316-317
ISSN:2525-7579
Container-title:Rio Oil and Gas Expo and Conference
language:
Short-container-title:ROG

Author:

Medani Luciana Velasco^ORCID,Ferreira Filho Virgílio José Martins^ORCID,Jardim Thonny Santos^ORCID,De Medeiros Maykell Dias,Dos Santos Tatiana Ferreira

Publisher

Instituto Brasileiro de Petroleo e Gas

Subject

Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Reference31 articles.

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