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Time-variation and Frequency-variation Analysis of Wavelet Packet-Characteristic Entropy for Vibration Signals

机译:小波包特征熵振动信号的时间变化与频率变化分析

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In this paper a new method to extract characteristic parameters from vibration signals of HV CB (circuit breakers) is introduced based on wavelet packet. For one normal signal, the method splits each reconstructed-signal envelope into 15segments with the same energy, at the third layer of the wp-decomposition, and the testing signal is also split with the same breakpoint as the normal signal. The characteristic entropy is extracted from the segmental energy of reconstructed signals, and an 8-D vector can be get. At last, many simulated signals with time-domain and frequency-domain changes from the normal signal are used to test the character of the new method. The simulation results indicate the characteristic vector extracted from HVCB vibration signal with the new method can reflect the changes of the mechanical states visually and sharply, and can be used to diagnosing the fault of HVCB.
机译:在本文中,基于小波包引入了一种从HV CB(断路器)的振动信号中提取特征参数的新方法。对于一个正常信号,该方法在WP - 分解的第三层处将每个重建信号包络分成具有相同能量的15个,并且测试信号也以与正常信号相同的断点分开。从重建信号的分段能中提取特征熵,并且可以获得8-D向量。最后,许多模拟信号与正常信号的时域和频域的变化用于测试新方法的特征。仿真结果表明,利用新方法从HVCB振动信号提取的特征向量可以在视觉上和急剧上反映机械状态的变化,并且可用于诊断HVCB的故障。

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