首页|基于深度学习的核电设备智能健康管理系统设计与优化

基于深度学习的核电设备智能健康管理系统设计与优化

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阐述基于深度学习的核电设备智能健康管理系统的设计和优化.通过数据监测、预处理和故障诊断算法,可有效提高设备性能和可靠性.实验结果表明,所提方案在性能和鲁棒性方面成效明显.
Design and Optimization of Intelligent Health Management System for Nuclear Power Equipment Based on Deep Learning
This paper expounds the design and optimization of an intelligent health management system for nuclear power equipment based on deep learning.It can effectively improve equipment performance and reliability through data monitoring,preprocessing,and fault diagnosis algorithms.The experimental results show that the proposed scheme achieves significant performance and robustness.

deep learningnuclear power equipmentfault diagnosis algorithms

李昂

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北京金风科创风电设备有限公司,北京 101102

深度学习 核电设备 故障诊断算法

2024

集成电路应用
上海贝岭股份有限公司

集成电路应用

影响因子:0.132
ISSN:1674-2583
年,卷(期):2024.41(7)