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一种模拟电路故障特征提取方法
资料介绍
提出了一种基于局部特征尺度分解和基本尺度熵算法的模拟电路特征提取方法。首先采用LCD方法对被测信号进行分解,得到若干具有物理意义的分量;其次结合基本尺度熵算法得到特征向量。运用距离可分性指标的仿真结果表明,该方法提取的特征向量能够很好地描述电路的故障状态。
A new method of feature vector extraction in analog circuit is proposed.Firstly,the measured signal is decomposed by using the LCD to obtain some signal components of physical significance.Secondly,combined with the base-scale entropy method,the feature vector are extracted.Simulation results show that the feature vectors extracted by this method can describe the fault state of the circuit well.
部分文件列表
| 文件名 | 大小 |
| 一种模拟电路故障特征提取方法.pdf | 2M |
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