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轨道车辆门电机信号的时域特征提取研究 被引量:2

Research of time domain feature extraction of motor signal for railway vehicle door
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摘要 提取门电机特征参数是模式识别、故障诊断的基础部分,对轨道车辆门系统的智能监测与诊断具有重要意义。文章首先对信号的时域特征进行了简单的介绍,然后分析了轨道车辆门系统开关过程中电机信号的变化过程,最后总结了从门电机信号中提取的特征参数,并通过增大阻力开门试验对提取的特征参数进行了验证。 Extraction of the door motor feature parameters is the foundation of pattern recognition and fault diagnosis. It is of great significance for the intelligent monitoring and diagnosis of railway vehicle door system. First, time domain feature is introduced briefly. Then, motor signal changes in the progress of railway vehicle door opening and closing is analyzed. Last, feature parameter from motor signal is summarized and it is simply verified by test of increasing resistance to open and close the door.
出处 《电力机车与城轨车辆》 2017年第4期16-19,共4页 Electric Locomotives & Mass Transit Vehicles
基金 广州市产学研协同创新重大专项(201604016038)
关键词 轨道车辆 特征提取 门系统 电机信号 railway vehicle feature extraction door system motor signal
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