High Resolution Order Tracking at Extreme Slew Rates Using Kalman Tracking Filters
High Resolution Order Tracking at Extreme Slew Rates Using Kalman Tracking Filters
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DOI：
10.4271/931288
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发表时间：
1993-05
影响因子：
1.6
通讯作者：
H. Vold;J. Leuridan
中科院分区：
文献类型：
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作者：
H. Vold;J. Leuridan
在旋转设备（如汽车动力传动系）上测量的噪声和振动信号中的周期性分量的分析必须在轴或参考RPM的快速变化下进行。正常的跟踪滤波器（模拟或数字实现）在这种情况下具有有限的分辨率;小波方法，即使在将数据重采样成正比于轴RPM之后应用，也必须在时间和频率分辨率之间进行折衷。作者提出了应用非平稳卡尔曼滤波器的跟踪周期性成分，在这样的噪声和振动信号。这些滤波器被设计为在不同的“未知”结构的噪声和信号分量中精确地跟踪具有已知结构的信号。这些滤波器的跟踪特性，即，即使在参考RPM的高变化率下，预测的信号幅度相对于时间的值相对于精确的信号幅度相对于时间的值，也可以被调整以精确地跟踪隐藏在其它信号分量和噪声中的谐波。成功构建的关键是要跟踪的信号的结构的精确知识。对于随轴RPM变化的信号，瞬时RPM的准确估计是必不可少的，并且为此目的的程序也将被呈现。
The analysis of the periodic components in noise and vibration signals measured on rotating equipment such as car power trains, must be done more and more under rapid changes of an axle, or reference RPM. Normal tracking filters (analog or digital implementations) have limited resolution in such situations; wavelet methods, even when applied after resampling the data to be proportional to an axle RPM, must compromise between time and frequency resolution. The authors propose the application of nonstationary Kalman filters for the tracking of periodic components in such noise and vibration signals. These filters are designed to accurately track signals with a known structure among noise and signal components of different, “unknown,” structure. The tracking characteristics of these filters, i.e., the predicted signal amplitude versus time values versus exact signal amplitude versus time values, can be tailored to accurate tracking of harmonics buried in other signal components and noise, even at high rates of change of the reference RPM. A key to the successful construction is the precise knowledge of the structure of the signal to be tracked. For signals that vary with an axle RPM, an accurate estimate of the instantaneous RPM is essential, and procedures to this end will also be presented.