Abstract: By testing and analyzing the electrical characteristic data of signal equipment, it is possible to grasp the trend of equipment operation status and detect abnormal performance of signal equipment in advance. The electrical characteristic parameter indicators of signal equipment are related to their working modes. When the signal equipment operates in different working modes, the magnitude of its operating voltage, current, and other values will change with changes in the working mode. In the case of multi-mode mixed-sampling statistics, it is difficult to quickly distinguish between normal and abnormal changes in data. Taking signal equipment such as tracks and switches as examples, this study explores new ideas for statistical analysis of operating trends of signal equipment in multi-state mode through working mode recognition, data sampling, and statistical analysis of electrical characteristics trends in different modes.

Key words: working mode, electrical characteristics, operating trend

摘要： 测试和分析信号设备电气特性数据，可以掌握设备运行状态趋势，提前发现信号设备性能异常。信号设备电气特性参数指标与其工作模式有关，信号设备运行在不同工作模式时，其运行电压、电流等数值的大小，会随着工作模式的变化而变化，在多模式混合采样统计的情况下，数据的正常变化与异常变化很难敏捷区分。以轨道、道岔等信号设备为例，通过工作模式识别、数据采样以及其在不同模式下电气特性趋势统计分析方法研究，探索信号设备多状态模式下运行趋势统计分析的新思路。

关键词: 工作模式, 电气特性, 运行趋势