Evaluating eXplainable artificial intelligence tools for hard disk drive predictive maintenance
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
https://link.springer.com/content/pdf/10.1007/s10462-022-10354-7.pdf
Reference73 articles.
1. Arras L, Montavon G, Müller K-R, Samek W (2017) Explaining recurrent neural network predictions in sentiment analysis. ArXiv preprint arXiv:1706.07206.
2. Asociación Española de Normalización, Génova M (2018) Une-en13306. maintenance. maintenance terminology. standard
3. Bach S, Binder A, Montavon G, Klauschen F, Müller K, Samek W (2015) On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation. PLoS ONE 10:e0130140
4. Baptista M, Sankararaman S, de Medeiros IP, Nascimento C, Prendinger H, Henriques EMP (2018) Forecasting fault events for predictive maintenance using data-driven techniques and arma modeling. Comput Ind Eng 115:41–53
5. Baptista ML, Goebel K, Henriques EMP (2022) Relation between prognostics predictor evaluation metrics and local interpretability shap values. Artif Intell 306:103667. https://doi.org/10.1016/j.artint.2022.103667
Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. An explainable artificial intelligence model for predictive maintenance and spare parts optimization;Supply Chain Analytics;2024-12
2. Exploring the Usability and Trustworthiness of AI-Driven User Interfaces for Neurological Diagnosis;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27
3. Machine learning applications on IoT data in manufacturing operations and their interpretability implications: A systematic literature review;Journal of Manufacturing Systems;2024-06
4. Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends;Applied Sciences;2024-01-20
5. Medical Robotics and AI-Assisted Diagnostics Challenges for Smart Sustainable Healthcare;Advances in Medical Diagnosis, Treatment, and Care;2024-01-05
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3