A SVM Transformer Fault Diagnosis Method Based on Improved BP Neural Network and Multi-parameter Optimization-Reference-Cited by-同舟云学术

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A SVM Transformer Fault Diagnosis Method Based on Improved BP Neural Network and Multi-parameter Optimization

Published:2022-11-03 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 3rd China International Youth Conference on Electrical Engineering (CIYCEE)
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Author:

Wang Gaoming¹,Zhou Hualiang¹,Su Zhantao¹,Dai Ying¹,Lu Lu¹

Affiliation:

1. Nari Technology Development Limited Company,Nanjing,Jiangsu,China,211106

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9958146/9957115/09959025.pdf?arnumber=9959025

Reference28 articles.

1. Transformer fault diagnosis based on Improved Particle Swarm Optimization to support Vector Machine

2. A new model of faults classification in power transformers based on data optimization method

3. Study of Transformer Fault Diagnosis Based on Sparrow Optimization Algorithm[C];li;International Conference on Control Robotics and Intelligent System,0

4. Fault diagnosis of transformer based on modified grey wolf optimization algorithm and support vector machine

5. Prediction Model for Dissolved Gas Concentration in Transformer Oil Based on Modified Grey Wolf Optimizer and LSSVM with Grey Relational Analysis and Empirical Mode Decomposition

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. A fault diagnosis algorithm of the dedicated equipment based on LSTM mechanism;2023 62nd Annual Conference of the Society of Instrument and Control Engineers (SICE);2023-09-06

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