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Developing Best Practices for Panel Contribution Analysis

机译:开发小组贡献分析的最佳实践

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Panel contribution analysis (PCA) can be used to predict the noise emissions from machinery at selected receiver positions. Machinery is discretized into patches and then measurements are made of the volume velocity for each patch with the machinery operating. Likewise, transfer functions are measured between each patch and the receiver position, normally reciprocally, with the equipment not operating. Though the method has been applied in numerous studies, there are currently few guidelines for measuring volume velocities and reciprocal measurement of acoustic transfer functions. The current research looks at these concerns using two-dimensional Rayleigh integral calculations and offers practical guidelines.
机译:面板贡献分析(PCA)可用于预测选定接收器位置的机械噪声。将机器离散为补丁,然后在机器运行的情况下对每个补丁的体积速度进行测量。同样,在设备不工作的情况下,通常在每个补丁与接收器位置之间进行传递函数的测量。尽管该方法已在众多研究中得到应用,但目前很少有用于测量体积速度和声学传递函数的倒数测量的指南。当前的研究使用二维瑞利积分计算法研究了这些问题,并提供了实用指南。

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