A feature mining model was set up for rotating machine fault diagnosis, based on data mining.
在研究数据挖掘技术的基础上，建立了旋转机械故障诊断的特征挖掘模型。
To diagnose accurately the rotation machine fault, this paper presents a new method of fault diagnosis based on wavelet packet energy eigenvector and neural network.
为精确诊断旋转机械的故障，提出一种基于小波包特征向量的神经网络故障诊断方法。
For a group of grinding wheel machines, we have explored the corresponding relationship between abnormal sound and machine fault, and also pointed out the resolving method of the machine fault.
以一组异响砂轮机为例，研究了异响与机器故障的对应关系、指出了解决故障的方法。
Signal Processing is the main method to extract fault feature information. These information become the base for further way to diagnose machine fault and take measures to prevent machine fault.
信号处理是提取故障特征信息的主要手段，而故障特征信息则是进一步诊断设备故障原因并采取防治对策的依据。
Machine fault diagnosis is a science of identifying the running state of device by studying the varying information of the device running state.
机械故障诊断是研究设备运行状态信息的变化，进而识别设备运行状态的科学。
Machine fault diagnosis is a science of identifying the running state of device by studying the varying information of the device running state.
机械故障诊断是研究设备运行状态信息的变化，进而识别设备运行状态的科学。
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