摘要
随着电力系统规模不断扩大，输电线路的安全稳定运行至关重要。本文针对输电线路故障预测与健康管理技术展开研究，分析了输电线路故障特征，提出了基于大数据与智能算法的故障预测模型，并构建了健康管理框架。通过实际案例验证了该技术的有效性，为提升输电线路可靠性与运维效率提供了理论支持与实践指导，推动电力系统智能化发展。
关键词： 输电线路；故障预测；健康管理；大数据；智能算法
Abstract
With the continuous expansion of the power system scale, the safe and stable operation of the transmission lines is very important. This paper studies the fault prediction and health management technology of transmission lines, analyzes the fault characteristics of transmission lines, puts forward the fault prediction model based on big data and intelligent algorithm, and constructs the health management framework. The effectiveness of this technology is verified through practical cases, providing theoretical support and practical guidance for improving the reliability of transmission lines and operation and maintenance efficiency, and promoting the intelligent development of power system.
Key words： Transmission line; Fault prediction; Health management; Big data; Intelligent algorithm
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