The methods of fault features extraction are researched.
研究了电力电子电路故障特征提取方法。
参考来源 - 基于小波变换与神经网络的电力电子电路故障诊断研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Therefore, the automatic extraction of features of waterfall diagrams, and the identification and diagnosis of fault are realized.
从而实现机组三维转速谱阵图瞬态振动特征的自动提取和故障识别与诊断。
In this article, the issue of extraction of fault features in UAV is analyzed.
针对无人机故障诊断前故障特征提取的问题进行了分析。
In electronic equipment fault diagnosis, waveform identification is an important basis of features extraction and fault diagnosis.
在电子设备故障诊断中，波形识别是进行故障特征提取和故障诊断的重要依据。
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