Replication Data for: Hybrid physics-informed neural networks for main bearing fatigue prognosis with visual grease inspection

Name: Replication Data for: Hybrid physics-informed neural networks for main bearing fatigue prognosis with visual grease inspection
Creator: University of Central Florida
Published: 2020-01-01T00:00:00+08:00

Harvard Dataverse2020-10-27 更新2026-04-09 收录

维护预测

轴承寿命预测

数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/HMYQWU 数据链接链接失效反馈

官方服务：

资源简介：

This dataset is provided for replication of results presented in the article: Y.A. Yucesan and F.A.C. Viana, "Hybrid physics-informed neural networks for main bearing fatigue prognosis with visual grease inspection," Computers in Industry, 2020.

提供机构：

University of Central Florida

创建时间：

2020-01-01