基于DSP的变压器振动信号的小波能量谱熵提取

变压器器身的振动信号含有丰富的故障信息，利用振动法进行变压器运行状况的在线监测已经成为变压器故障诊断的研究重点之一。结合小波变换与信息熵的理论，采用变压器振动信号的小波能量谱熵作为故障诊断的特征信号，同时利用DSP芯片TMS320F2812作为核心芯片，设计并完成对变压器振动信号的采集和小波能量谱熵的提取。结果表明，变压器正常运行与故障运行时的小波包能量谱熵存在差异。因此，该方法能够有效提取变压器振动信号的特征值，为后续故障诊断提供有力的依据。

Acquisition System of Wavelet Energy Spectrum Entropy of Transformer Vibration Signal Based on DSP

As the vibration signals of the transformer body contain abundant fault information, using vibration method for on-line monitoring of transformer operation has become one of the research emphasis of transformer fault diagnosis. Based on wavelet transform and information entropy theory, the wavelet energy spectrum entropy of the transformer vibration signals are selected as characteristic signal for fault diagnosis. Using TMS320F2812 as core DSP chip, an acquisition system of wavelet energy spectrum entropy of transformer vibration signal is designed and developed. The results show that the wavelet packet energy spectrum entropy between normal operation and fault operation are different. Therefore, this method can effectively extract transformer vibration signal characteristic value and provide powerful basis for subsequent fault diagnosis.