A Mechanical Vibration Fault Diagnosis Method of Generator Circuit Breaker Based on Deep Residual Network

Author:

Hao Guowen1,Yang Yanping1,Yu Hao2,Tan Yaxiong3,Hu Erhan3,Zhang Mingyu3

Affiliation:

1. State Grid Xinyuan Group Co., Ltd.,Beijing,China

2. Hekai Electric Technology Co., Ltd.,Hefei,China

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

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference14 articles.

1. Efficient methodology for electrocardiogram beat classification

2. Nonlinear, Non-Stationary Analysis of Interarea Oscillations via Hilbert Spectral Analysis

3. Survey on image classification Algorithms based on deep residual network;zhao;Computer Systems & Applications,0

4. Application of deep Residual Network in Circuit breaker Fault Diagnosis;du;Instrument Technique and Sensor,2022

5. Extraction of vibration signal feature vector of circuit breaker based on empirical mode decomposition amount of energy;sun;Transactions of China Electrotechnical Society,2014

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