Explainable Artificial Intelligence for Predictive Maintenance Applications
暂无分享,去创建一个
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.
[1] Carlos Guestrin,et al. "Why Should I Trust You?": Explaining the Predictions of Any Classifier , 2016, ArXiv.
[2] G. McLachlan. Discriminant Analysis and Statistical Pattern Recognition , 1992 .
[3] Brandon M. Greenwell,et al. Interpretable Machine Learning , 2019, Hands-On Machine Learning with R.
[4] Stephan Matzka,et al. Using Process Quality Prediction to Increase Resource Efficiency in Manufacturing Processes , 2018, 2018 First International Conference on Artificial Intelligence for Industries (AI4I).