Explainable Artificial Intelligence for Predictive Maintenance Applications

被引：38
|
作者：
Matzka, Stephan [1 ]
机构：
[1] Hsch Tech & Wirtschaft Berlin, Sch Engn Technol & Life, D-12459 Berlin, Germany
来源：
2020 THIRD INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE FOR INDUSTRIES (AI4I 2020) | 2020年
关键词：
explainable artificial intelligence; predictive maintenance; dataset; decision tree; model agnostic method;
D O I：
10.1109/AI4I49448.2020.00023
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents and provides a realistic, yet synthetic, predictive maintenance dataset for use in this paper and by the community. An explainable model and an explanatory interface are described, trained using the dataset, and their explanatory performance evaluated and compared.
引用
收藏
页码：69 / 74
页数：6
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