FedCov: Enhanced Trustworthy Federated Learning for Machine RUL Prediction With Continuous-to-Discrete Conversion

待确认 10 由 111 发布于 2026/2/19 18:32:22

DOI:10.1109/TII.2024.3423314
作者：Chao Cai;Yuming Fang;Weide Liu;Ruibing Jin;Jun Cheng;Zhenghua Chen
文献类型：期刊论文
补充材料：只需要正文
文献链接：https://doi.org/10.1109/TII.2024.3423314

Institute of Electrical and Electronics Engineers (IEEE)

Abstract：Numerous approaches have been proposed for predicting machine remaining useful life (RUL), which helps prevent unnecessary downtime and reduces the maintenance cost in industrial systems. Mo

应助信息

等待求助人确认

求助人未确认前，本求助不能再次应助。36小时后系统将自动确认应助成功。本求助将自动关闭。

1天前

Book学术机器人

978e071f4c1711f0a28134735aa3bc31.pdf

1天前

Book学术机器人

2026/2/19 18:32:23 Book学术AI机器人已找到文献并上传

2026/2/19 18:32:22 Book学术AI机器人收到请求，开始寻找文献

2026/2/19 18:32:22 已向机器人发送请求

1天前

111 发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:WileyThe properties of crystals with garnet structure