Research on Power Fault Data Fusion and Diagnosis Model Based on Improved BP Network Algorithm-Reference-Cited by-同舟云学术

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Research on Power Fault Data Fusion and Diagnosis Model Based on Improved BP Network Algorithm

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Symposium on Computer Science and Intelligent Control (ISCSIC)
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Author:

Wang Li¹,Zhang XuYang²,Deng Wen³

Affiliation:

1. Procurement Company of State Grid Zhejiang Electric Power Co., Ltd,General Director of Supply Chain Operation Center of Zhejiang,Hangzhou,China,310005

2. General Manager of Shengzhou Power Supply Company of State Grid Zhejiang Electric Power Co., Ltd,Deputy Secretary of the Party Committee of Shengzhou Power Supply Company of State Grid Zhejiang Electric Power Co., Ltd,Shengzhou City,China,312400

3. Shengzhou Power Supply Company of State Grid Zhejiang Electric Power Co., Ltd,Shengzhou City,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10063336/10063352/10063698.pdf?arnumber=10063698

Reference18 articles.

1. A novel distribution system state estimator based on robust cubature particle filter used for non‐gaussian noise and bad data scenarios

2. Cylindrical Radial Filter Design With Application to Local Wave Field Synthesis

3. Equivalence of local- and global-best approximations, a simple stable local commuting projector, and optimal hp approximation estimates in H (div)

4. An enhanced multiobjective particle swarm optimisation algorithm for optimum utilisation of hybrid renewable energy systems

5. TransFG: A Transformer Architecture for Fine-Grained Recognition

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