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Processing methods of measured runs of torque and angular speed of combustion engine propulsion system

机译：内燃机推进系统扭矩和角速度实测行程的处理方法

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In this paper four processing methods of cyclic data runs, namely : Fourier interpolation and transformation, least-squares approximation by means of trigonometric polynomials, synchronous averaging and movable approximation, were presented by using, as an example, discretely measured runs of torque and angular speed. It was demonstrated that for extracting a useful signal out of disturbance background and decomposing the disturbances the appropriate methods are the synchronous averaging and multiple movable approximation. To emerge significant spectral lines from a spectrum the least-squares approximation by using trigonometric polynomials can be applied. The method contains a criterion for signal filtration and is insensitive to disturbances, run truncation and sampling irregularity. Fast Fourier Transform (FFT) may have an auxiliary significance for preliminary spectral analysis. Its main disadvantage is that in order to build a smoothing-out filter its parameters should be determined in advance, e.g. by applying one of the remaining methods.
机译：本文以离散测量的扭矩和角度行程为例，提出了四种循环数据行程的处理方法：傅里叶插值和变换，利用三角多项式的最小二乘近似，同步平均和可移动近似。速度。结果表明，要从干扰背景中提取有用信号并分解干扰，合适的方法是同步平均和多可动逼近。为了从光谱中显现出重要的光谱线，可以应用通过使用三角多项式的最小二乘近似。该方法包含信号过滤标准，并且对干扰，运行截断和采样不规则不敏感。快速傅里叶变换（FFT）对于初步频谱分析可能具有辅助意义。它的主要缺点是，为了构建平滑滤波器，其参数应预先确定，例如。通过应用其余方法之一。

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