基于Peakvue技术的滚动轴承故障诊断

滚动轴承作为旋转机械的关键部件，其运行状态决定设备以及整个系统的性能.滚动轴承出现故障时会产生高频的应力波信号，而Peakvue技术能够有效的检测应力波，运用一种基于Peakvue技术的滚动轴承故障诊断方法.该方法采用加速度传感器采集滚动轴承振动信号，利用高通滤波器滤除加速度传感器输出信号中不必要的低频部分，按照一定的时间间隔对高频信号和应力波信号进行峰值提取，并对提取的峰值信号进行包络检波处理分析故障类型.应用西储大学轴承数据集进行验证，结果表明该方法能准确有效地检测出滚动轴承的故障类型.

Fault Diagnosis of Rolling Bearings Using Peakvue Technique

Rolling bearings are key components in rotating machinery and its running status has an important effect on the performance of the equipment and even the entire system. Rolling bearing failure produces a high frequency stress wave signal, but Peakvue technique could detect effectively, so a fault diagnosis of rolling bearings using Peakvue technique can be used. Acceleration sensor is used to collect vibration signal of rolling bearings, and the high-pass filter is used to filter unwanted low frequency signal from the output signal of acceleration sensor, and peak extraction is used on high frequency signal and stress wave signal according to a certain time interval, and envelope detection is used on peak signal to analyze the fault type. Datasets from the Case Western Reserve University was used for validation, and the results indicate that this method can accurately detect the fault type of rolling bearings.