Mechanical defect identification for gas‐insulated switchgear equipment based on time‐frequency vibration signal analysis-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Mechanical defect identification for gas‐insulated switchgear equipment based on time‐frequency vibration signal analysis

Published:2020-12-08 Issue:3 Volume:6 Page:531-542
ISSN:2397-7264
Container-title:High Voltage
language:en
Short-container-title:High Voltage

Author:

Zhong Yao¹,Hao Jian¹^ORCID,Liao Ruijin¹,Wang Xupeng¹,Jiang Xiping²,Wang Feng³

Affiliation:

1. State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing University Chongqing China

2. State Grid Chongqing Electric Power Company Chongqing Electric Power Research Institute Chongqing China

3. Shandong Taikai High‐Volt Switchgear Co., Ltd. Technology Center Taian China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/hve2.12056

Reference19 articles.

1. Dynamics of surface charge and electric field distributions on basin‐type insulator in GIS/GIL due to voltage polarity reversal

2. Risk assessment on defects in GIS based on PD diagnostics

3. Effect of disconnector and high‐voltage conductor on propagation characteristics of PD‐induced UHF signals

Cited by 17 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. Novel GIL mechanical fault diagnosis method based on multi-sensor data feature fusion and TDEAVOA-ELM;Computers and Electrical Engineering;2024-11

2. Design of intelligent detection method for electricity transmission line equipment defect based on data mining algorithm;International Journal of Thermofluids;2024-11

3. Research on GIS Mechanical Defect Diagnosis Method Based on One-Dimensional Convolutional Neural Network;2024 IEEE 2nd International Conference on Power Science and Technology (ICPST);2024-05-09

4. Automatic Identification of the Working State of High-Rise Building Machine Based on Machine Learning;Applied Sciences;2023-10-18

5. Advances in nanogenerators for electrical power system state sensing and monitoring;Nano Energy;2023-10

同舟云学术

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