动车组高压电气系统综合监测技术研究 -电气工程及其自动化专业

摘要

本研究针对动车组高压电气系统的综合监测技术进行了深入探讨。随着高速铁路的快速发展，动车组高压电气系统的安全性和稳定性日益受到关注。通过安装高精度传感器，实时监测动车组高压电气系统中的电压、电流、温度等关键参数。接着，利用高效的数据处理方法对采集到的数据进行分析，从而及时发现异常情况。引入机器学习算法对系统运行状态进行预测，为维修人员提供预警信息，以便及时采取措施防止潜在故障。本研究所提出的综合监测技术能够显著提高动车组高压电气系统的故障检测准确率和预警能力。与传统监测方法相比，该技术具有更高的灵敏度和可靠性，有效降低了动车组运行过程中的安全风险。未来，我们将进一步优化该技术，以适应更复杂多变的运行环境，提升动车组高压电气系统的整体性能。

关键词：动车组高压电气系统监测传感器技术数据处理机器学习

Abstract

The comprehensive monitoring technology of high voltage electrical system of EMU is discussed in this paper. With the rapid development of high-speed railway, the safety and stability of high-voltage electrical system of EMU are increasingly concerned. By installing high-precision sensors, the key parameters such as voltage, current and temperature in the high-voltage electrical system of EMU are monitored in real time. Then, using efficient data processing methods to analyze the collected data, so as to find the abnormal situation in time. Machine learning algorithms are introduced to predict the operating state of the system and provide early warning information for maintenance personnel so that timely measures can be taken to prevent potential failures. The integrated monitoring technology proposed in this study can significantly improve the fault detection accuracy and early warning ability of EMU high voltage electrical system. Compared with the traditional monitoring method, this technology has higher sensitivity and reliability, and effectively reduces the safety risk during the operation of EMU. In the future, we will further optimize the technology to adapt to more complex and changeable operating environments and improve the overall performance of the high-voltage electrical system of EMUs.

Keyword:Emu high voltage electrical system monitoring Sensor technology Data processing Machine learning

1绪论 1

1.1研究背景及意义 1

1.2国内外研究现状 1

2动车组高压电气系统基础理论与技术 1

2.1动车组高压电气系统概述 1

2.2高压电气系统关键技术与组成 2

2.3 高压电气系统运行特性分析 2

2.4 高压电气系统监测需求分析 3

3综合监测技术体系构建与研究 3

3.1综合监测技术体系框架 3

3.2监测参数选择与传感器技术 4