高级检索+

基于声纹监测技术的大型泵站机组振动特性研究

Research on the Vibration Characteristics of Large Pumping Station Units Based on Voiceprint Monitoring Technology

  • 摘要: 声音和振动是反映旋转机械设备运行状态信息的直接载体,根据声纹监测的原理,通过对数据进行采集、预处理、提取特征值,采用卷积神经网络深度学习识别模型,建立大型泵站机组运行状态声纹样本库和模型库,构建泵站机组振动状态的声纹监测系统,实现大型泵站机组运行状态的实时监测。

     

    Abstract: Sound and vibration are the direct carriers of running data of rotating machinery equipment. According to the principle of voiceprint monitoring, through data collection, pre-processing and extraction of eigen values, a voiceprint sample and model library of running data and voiceprint monitoring system of vibration data of large pumping station units is established by adopting convolution neural network deep learning recognition model so as to realize the real-time monitoring of the unit running data of the large pumping station.

     

/

返回文章
返回