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Sound Recognition Algorithm for Power Devices Based On Substation Inspection Robots

机译:基于变电站检查机器人的电力设备的声音识别算法

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Transformer and high reactance are two important devices in power substations, and the running sound has the information of their running state. But inspection robots don't have the function of sound recognition. A new sound recognition algorithm based on harmonics feature and vector quantization for power substation devices was proposed. Inspection robots is adopted to record and sample the running sound of the devices, the 27 harmonics in [0Hz,1300Hz] is adopted as the feature vector, the LBG algorithm is adopted to train the optimal codebook for VQ, and the running state of the transformer and high reactance was recognized with the high recognition ratio 99%.
机译:变压器和高电抗是功率变电站中的两个重要设备,运行声音具有其运行状态的信息。但检查机器人没有声音识别的功能。提出了一种基于谐波特征和电力变电站器件矢量量化的新的声音识别算法。采用检查机器人记录和采样设备的运行声音,采用[0Hz,1300Hz]的27次谐波作为特征向量,采用LBG算法培训VQ的最佳码本,以及运行状态具有高识别率99%的高识别比率,识别变压器和高电抗。

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