A New Method for Oil-Immersed Transformers Fault Diagnosis Based on Evidential Reasoning Rule With Optimized Probabilistic Distributed

Author:

E. Jina1ORCID,Zhang Yunyi2,He Wei1ORCID,Zhang Wei1,Cao You3,Lv Gang3

Affiliation:

1. Computer Science and Information Engineering Institute, Harbin Normal University, Harbin, China

2. Computer and Informational Technology Institute, Beijing Jiaotong University, Beijing, China

3. High-Tech Institute, Qingzhou, China

Funder

Natural Science Foundation of China

Postdoctoral Science Foundation of China

Teaching Reform Project of Higher Education in Heilongjiang Province

Natural Science Foundation of Heilongjiang Province of China

Graduate Academic Innovation Project of Harbin Normal University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference34 articles.

1. An intelligent system based on optimized ANFIS and association rules for power transformer fault diagnosis

2. Prediction of the dissolved gas concentration in power transformer oil based on SARIMA model

3. Review of fault diagnosis and prognosis techniques for high-speed railway traction system;Jiang;Control Decis.,2018

4. Study on fault diagnosis model of large power transformer based on support vector machine and oil dissolved gas analysis;Yan;China J. Electr. Eng.,2003

5. Condition Evaluation and Fault Diagnosis of Power Transformer Based on GAN-CNN

Cited by 1 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. Advancement in transformer fault diagnosis technology;Frontiers in Energy Research;2024-07-22

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