公开(公告)号：US07532988B2

公开(公告)日：2009-05-12

申请号：US10567198

申请日：2004-08-09

申请人： Alexander I. Khibnik ,  Mauro Jorge Atalla ,  Alan M. Finn ,  Mark W. Davis ,  Jun Ma ,  James Cycon ,  Peter F. Horbury ,  Andreas Bernhard

发明人： Alexander I. Khibnik ,  Mauro Jorge Atalla ,  Alan M. Finn ,  Mark W. Davis ,  Jun Ma ,  James Cycon ,  Peter F. Horbury ,  Andreas Bernhard

IPC分类号： G01R13/00

CPC分类号： G05B23/0221 ,  G05B13/04 ,  G05B17/02 ,  G05B19/4065 ,  G05B2219/37249

摘要： A method and system estimates a desired output signal waveform based on measured state parameters. A model training step generates a model by empirically obtaining measured signal waveforms corresponding to measured state parameters. Features, such as mode shapes and mode amplitudes, are extracted from the measured signals and stored in an estimation model along with coefficients of the model that correlate measured state parameters with the mode amplitudes. During part operation, the state parameters measured during operation are entered into the estimation model to obtain estimated features in a estimated signal waveform. The estimated features are then used to synthesize the estimated signal reflecting the actual operation of the operating part. The estimation model therefore allows estimation of an entire signal waveform from the state parameters.

摘要翻译： 方法和系统基于测量的状态参数来估计期望的输出信号波形。 模型训练步骤通过经验获得对应于测量状态参数的测量信号波形来生成模型。 从测量信号中提取特征，例如模式形状和模式振幅，并将其与模型的系数一起存储在估计模型中，并将测量的状态参数与模式幅度相关联。 在部分操作期间，将运行期间测量的状态参数输入到估计模型中以获得估计信号波形中的估计特征。 然后使用估计的特征来合成反映操作部件的实际操作的估计信号。 因此，估计模型允许从状态参数估计整个信号波形。