基于深度学习的电力智能通信电源系统研究
Research on Intelligent Communication Power Supply System Based on Deep Learning
解丹 1宋磊2
作者信息
- 1. 山东光魔新媒体艺术科技有限公司,山东济南 250000
- 2. 山东省建筑设计研究院有限公司,山东济南 250000
- 折叠
摘要
针对传统电源技术难以满足日益增长的智能化需求的问题,文章提出一种基于深度学习的电力智能通信电源系统架构.该系统通过数据采集、深度学习分析、智能控制的闭环设计,实现对电源设备的实时监测、故障诊断以及预测性维护.实验结果表明,基于深度学习的电力智能通信电源系统能够显著提高系统的自动化水平和运行可靠性,为电力通信电源的智能化升级提供新的思路和方向.
Abstract
In response to the problem that traditional power technology cannot meet the growing demand for intelligence,this article proposes a deep learning based architecture for power intelligent communication power supply systems.The system achieves real-time monitoring,fault diagnosis,and predictive maintenance of power equipment through closed-loop design of data collection,deep learning analysis,and intelligent control.The experimental results show that the power intelligent communication power supply system based on deep learning can significantly improve the automation level and operational reliability of the system,providing new ideas and directions for the intelligent upgrade of power communication power supply.
关键词
通信电源/深度学习/故障诊断Key words
communication power supply/deep learning/fault diagnosis引用本文复制引用
出版年
2024
NETL
NSTL
万方数据