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基于人工智能技术的电力设备故障识别技术研究

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近几年来,随着电力系统规模的不断扩大以及电力设备的日益复杂,电力设备故障识别成为电力系统运行和维护中最为重要的问题之一.传统的故障识别方法往往依赖于专业人员的经验和手动检测,存在着识别效率低、准确性不高等问题.而随着人工智能技术的快速发展,为电力设备故障识别带来了新的解决思路.人工智能技术以其强大的数据处理能力和分析能力,在电力设备故障识别领域展现出了巨大的潜力.基于此,本文主要分析基于人工智能技术的电力设备故障识别技术.
Research on Fault Identification Technology of Power Equipment Based on Artificial Intelligence Technology
In recent years,with the continuous expansion of power system scale and the increasing complexity of power equipment,power equipment fault identification has become one of the most important problems in power system operation and maintenance.Traditional fault identification methods often rely on the experience of professionals and manual detection,and there are problems of low efficiency and low accuracy.The development of artificial intelligence technology has brought new solutions for power equipment fault identification.With its powerful data processing and analysis capabilities,artificial intelligence technology has shown great potential in the field of power equipment fault identification.Based on this,this paper mainly analyzes the research of power equipment fault identification technology based on artificial intelligence technology.

artificial intelligence technologyelectric power equipmentfault identification technologytechnical research

王堃

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国电南瑞科技股份有限公司,江苏 南京 211106

人工智能技术 电力设备 故障识别技术 技术研究

2024

流体测量与控制

流体测量与控制

ISSN:
年,卷(期):2024.5(6)