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Algorithm for signal drop-out recognition in IC engine valve kinematics signal measured by laser Doppler vibrometer

机译:激光多普勒振动计测量IC发动机气门运动学信号的信号丢失识别算法

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摘要

We present an algorithm for the recognition of signal drop-out developed particularly for measurements of valvetrain kinematics. This algorithm is needed in order to save data that are not affected by a drop-out phenomenon. Such an algorithm will increase the throughput of the engine test stand and decrease the time needed for the evaluation of the valvetrains of combustion engines. The work shows the most commonly encountered drop-outs and their characteristics and locations. It presents an automatic separation algorithm for the measured signal so that the drop-out recognition tests can be aimed at specific data intervals (valve opening, valve closing, etc.) with specifically set parameters of the algorithm.
机译:我们提出了一种用于信号丢失识别的算法,专门针对气门机构运动学测量而开发。需要此算法以便保存不受丢失现象影响的数据。这种算法将增加发动机试验台的吞吐量,并减少评估内燃机气门机构所需的时间。该作品显示了最常见的辍学及其特征和位置。它提供了一种针对测量信号的自动分离算法,以便可以通过算法的特定设置参数针对特定的数据间隔(阀门开度,阀门关闭等)进行辍学识别测试。

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