首先对噪声信号进行小波包分解，得到含有待诊断柴油机主轴承间隙故障信息的噪声信号时频分布图，并由此定义图像。
We illustrate the wavelet package analysis that can obtain the time-frequency distribution figure of noise signal, which can be used to define gray-image.
运用此方法对内燃机主轴承不同间隙下的噪声信号进行分析，结果表明，此方法能有效地提取故障的特征，实现状态监测。
Applying the order bi-spectrum in the analysis of engine noise signals shows that it can extract the fault characteristics and realize the state monitoring.
轴承表中给定的速度评级值适用于单一的安装，轻轻预装nke的主轴轴承(即零间隙操作)。
The values of speed ratings given in the bearing tables apply to single mounted, lightly preloaded NKE spindle bearings (ie operating at zero clearance).
应用推荐