Automated algorithm selection for Predictive Maintenance: Advances and challenges

doi:10.1016/j.jmsy.2025.06.023

2025-08-11

PRE

Hendrik Engbers *

Michael Freitag

DOI：10.1016/j.jmsy.2025.06.023

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摘要

En 中文

• 产业预测性维护任务中元学习方法的系统综述。 • 对预测性维护中算法和超参数选择的CASH问题进行形式化。 • 识别模型开发瓶颈和关键预测性维护实施挑战。 • 揭示动态条件下无监督和自适应方法中的空白。 • 提出用于元学习稳健产业部署的研究路线图。

Keyword:

Meta-Learning

Predictive Maintenance

Hyperparameter Optimization

Industrial Deployment

Adaptive Methods

期刊

Journal of Manufacturing Systems

IF:

14.2

论文数:

2.7K

被引数:

1.6W

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暂无机构信息

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