{"title":"Explainable Artificial Intelligence for Predictive Maintenance Applications using a Local Surrogate Model","authors":"Andrea Torcianti, S. Matzka","doi":"10.1109/AI4I51902.2021.00029","DOIUrl":null,"url":null,"abstract":"This paper provides an explanatory interface using Local Interpretable Model-agnostic Explanations (LIME) for a predictive maintenance dataset. The explanations are evaluated and the explanatory quality of the model is compared to two previous explainable models for the same dataset.","PeriodicalId":114373,"journal":{"name":"2021 4th International Conference on Artificial Intelligence for Industries (AI4I)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 4th International Conference on Artificial Intelligence for Industries (AI4I)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AI4I51902.2021.00029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
This paper provides an explanatory interface using Local Interpretable Model-agnostic Explanations (LIME) for a predictive maintenance dataset. The explanations are evaluated and the explanatory quality of the model is compared to two previous explainable models for the same dataset.