Multi-information Fusion Fault Diagnosis Based on KNN and Improved Evidence Theory
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42417-021-00413-8.pdf
Reference42 articles.
1. Hang J, Zhang J, Cheng M (2014) Fault diagnosis of wind turbine based on multi-sensors information fusion technology. IET Renew Power Gener 8(3):289–298
2. Jiang W, Xie C, Zhuang M, Shou Y, Tang Y (2016) Sensor data fusion with Z-numbers and its application in fault diagnosis. Sensors 16(9):1509
3. Cheng G, Chen X-H, Shan X-L, Liu H-G, Zhou C-F (2016) A new method of gear fault diagnosis in strong noise based on multi-sensor information fusion. J Vib Control 22(6):1504–1515
4. Geng H, Liang Y, Yang F, Xu L, Pan Q (2017) Model-reduced fault detection for multirate sensor fusion with unknown inputs. Inf Fusion 33:1–1
5. Gundewar SK, Kane PV (2021) Condition monitoring and fault diagnosis of induction motor. J Vib Eng Technol 9:643–674. https://doi.org/10.1007/s42417-020-00253-y
Cited by 22 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. CDTFAFN: A novel coarse-to-fine dual-scale time-frequency attention fusion network for machinery vibro-acoustic fault diagnosis;Information Fusion;2024-12
2. A Multisensor Approach Integrating Cyclostationary Analysis and Evidence Theory for Explainable Bearing Fault Diagnosis;IEEE Sensors Journal;2024-06-01
3. A two-level fusion model of vibro-acoustic signals for centrifugal fan blade crack detection;Structural Health Monitoring;2024-02-22
4. Risk assessment approach for tunnel collapse based on improved multi-source evidence information fusion;Environmental Earth Sciences;2023-12-19
5. A vibro-acoustic signals hybrid fusion model for blade crack detection;Mechanical Systems and Signal Processing;2023-12
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