基于MFDFA的往复泵泵阀声音信号故障诊断
Journal of Yulin College(2020)
Abstract
针对往复泵泵阀故障诊断,使用声音信号对其进行状态监测,采用多重分形趋势波动分析(MFDFA,Multifractal Detrended Fluctuation Analysis)计算时间序列声音信号的多重分形谱,并提取特征参数,将这些参数用于故障诊断.首先将时间序列的声音信号转换为时间序列的随机游走;然后进行去趋势并提取声音信号的多重分形特征参数进行比较分析;最后将多重分形参数作为特征向量输入支持向量机(SVM,Support Vector Machine)进行模式识别.经过验证分析,声音信号的波动呈现明显的多重分形特性,可以有效区分正常状态与故障状态,进而实现对往复泵泵阀的故障诊断.
MoreAI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined