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The principle and Application of the Multiple and Partial Coherence Analysis

机译:多重和部分相干分析的原理和应用

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The basic principles of the partial and multiple coherence ananlysis and their utilization on vibration source identification are discussed in detail in this paper. The partial coherence analysis is the effective method of vibration source identification in multiple input—single output systems. Formerly, there was not any this kind of function in the signal processor, and there was not any special software too. The software which we developed and used in the 7T 17S signal processor has this function. This software can be used not only for the partial and multiple coherence analysts of signal, but also for the correlation analysis, power spectrum analysis, transfer function analysis el al. We used this software to make the identifcation of the vibration source of the car floor board of electrical measuring vehicle, and to find the main factors which effect the vibration of the car board. The excellent result was obtained. This method can also be used for making the identifications of noise source and other sources.
机译:本文详细讨论了部分和多重相干分析的基本原理及其在振动源识别中的应用。部分相干分析是识别多输入单输出系统中振动源的有效方法。以前,信号处理器中没有这种功能,也没有任何特殊软件。我们在7T 17S信号处理器中开发和使用的软件具有此功能。该软件不仅可以用于信号的部分和多个相干分析,还可以用于相关分析,功率谱分析,传递函数分析等。我们使用该软件来确定电气测量车辆的轿厢地板振动源,并找出影响轿厢振动的主要因素。获得了优异的结果。此方法也可用于识别噪声源和其他源。

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