Machine Learning Model for Fault Detection in Safety Critical System
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48121-5_72
Reference14 articles.
1. Cawley P (2018) Structural health monitoring: Closing the gap between research and industrial deployment. Struct Health Monit 17(5):1225–1244
2. Zerbst U, Madia M, Klinger C, Bettge D, Murakami Y (2019) Defects as a root cause of fatigue failure of metallic components. I: Basic aspects. Eng Fail Anal 97:777–792
3. Guo L, Li N, Jia F, Lei Y, Lin J (2017) A recurrent neural network based health indicator for remaining useful life prediction of bearings. Neurocomputing 240:98–109
4. Sait AS, Sharaf-Eldeen YI (2011) A review of gearbox condition monitoring based on vibration analysis techniques diagnostics and prognostics. Conference Proceedings of the Society for Experimental Mechanics Series 5:307–324
5. Simon HA (1947) Administrative behavior: A study of decision making processes in business organization. Macmillan, New York
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