摘 要
高压电气设备的绝缘状态直接关系到电力系统的安全稳定运行，随着电网规模的不断扩大和电压等级的提升，传统离线检测方法已难以满足实际需求。为此，本文针对高压电气设备绝缘状态在线监测技术展开研究，旨在通过实时、连续的数据采集与分析，实现对设备绝缘性能的精准评估和早期故障预警。研究中提出了一种基于多传感器融合的监测方案，结合局部放电检测、介质损耗因数测量以及温度场分布分析等多种手段，构建了综合评价模型。同时，引入人工智能算法对海量监测数据进行深度挖掘，有效提升了特征提取的准确性和故障诊断的可靠性。实验结果表明，该方法能够显著提高绝缘状态评估的灵敏度和精确度，并在实际应用中展现出良好的稳定性和适应性。本研究的创新点在于首次将多源异构数据融合技术与智能诊断算法相结合，突破了单一监测手段的局限性，为高压电气设备的状态检修提供了新的技术支撑。研究成果不仅有助于降低设备故障率，还为电力系统的智能化运维奠定了重要基础。关键词：高压电气设备；绝缘状态监测；多传感器融合；人工智能算法；状态检修
Abstract
The insulation condition of high-voltage electrical equipment is directly related to the safe and stable operation of power systems. With the continuous expansion of grid scale and the increase in voltage levels, traditional offline detection methods have become insufficient to meet practical requirements. To address this issue, this study investigates online monitoring technology for the insulation status of high-voltage electrical equipment, aiming to achieve precise evaluation of insulation performance and early fault warning through real-time and continuous data acquisition and analysis. A monitoring scheme based on multi-sensor fusion is proposed, integrating partial discharge detection, dielectric loss factor measurement, and temperature field distribution analysis to construct a comprehensive evaluation model. Meanwhile, artificial intelligence algorithms are introduced to perform in-depth mining of massive monitoring data, effectively enhancing the accuracy of feature extraction and the reliability of fault diagnosis. Experimental results demonstrate that this method significantly improves the sensitivity and precision of insulation status assessment and exhibits excellent stability and adaptability in practical applications. The innovation of this research lies in the first-time combination of multi-source heterogeneous data fusion technology with intelligent diagnostic algorithms, overcoming the limitations of single monitoring methods and providing new technical support for condition-based maintenance of high-voltage electrical equipment. The research findings not only contribute to reducing equipment failure rates but also lay an important foundation for the intelligent operation and maintenance of power systems..
Key Words：High Voltage Electrical Equipment；Insulation Condition Monitoring；Multi-Sensor Fusion；Artificial Intelligence Algorithm；Condition-Based Maintenance
目 录
摘 要 I
Abstract II
第1章 绪论 1
1.1 高压电气设备绝缘状态监测的背景与意义 1
1.2 国内外在线监测技术的研究现状 1
1.3 本文研究方法与技术路线 2
第2章 高压电气设备绝缘状态监测的基础理论 3
2.1 绝缘材料老化机理分析 3
2.2 在线监测的关键参数选择 3
2.3 数据采集与信号处理技术 4
2.4 监测系统的基本架构设计 4
第3章 高压电气设备绝缘状态监测的技术实现 6
3.1 感应式传感器的应用研究 6
3.2 数据传输与通信协议优化 6
3.3 实时监测算法的设计与验证 7
3.4 系统抗干扰能力提升策略 7
第4章 高压电气设备绝缘状态监测的实际应用与案例分析 9
4.1 典型高压设备的监测方案设计 9
4.2 不同工况下的监测效果评估 9
4.3 故障预警与诊断模型构建 10
4.4 监测系统的经济性与可靠性分析 10
结 论 12
参考文献 13
致 谢 14
