针对服务器硬盘在高噪声环境下性能下降问题,设计了一种实验方法来分析噪声激励下硬盘性能损失的敏感度特性。通过编程模拟不同频率和强度的1/9倍频程带宽的均匀随机噪声,测试硬盘在噪声激励下产生的性能损失。通过机理分析和实验数据分析,建立回归方程,提出敏感度(K)的数学模型。另一方面,建立了预测硬盘性能损失的数学模型,基于服务器机箱内散热风扇产生的真实噪声信号可计算出硬盘性能损失率。在多种场景的检验中发现预测模型的结果非常接近实际结果,证明此方法是一种非常准确的分析和预测手段,为服务器系统的声学设计提供有效的量化参考。
Abstract
Addressing the issue of performance degradation of server hard drives in high noise environments,an experimental method is designed to analyze the frequency response characteristics of hard disk under noise excitation. The random noise of 1/9 octave bandwidth with different frequencies and intensities is simulated by programming to test the performance loss of the hard disk under noise excitation. Through mechanism analysis and experimental data analysis, regression equation is established, and mathematical model of sensitivity (K) is proposed. On the other hand, the real noise signal generated by the cooling fan in the server chassis is connected with the sensitivity curve of the hard disk, and a mathematical model is established to predict the performance loss of the hard disk. It is found that the results of the prediction model are very close to the actual results in a variety of scenarios, which proves that the method is a very accurate analysis and prediction means, and provides an effective quantitative reference for the acoustic design of the server system.
关键词
噪声 /
硬盘 /
风扇 /
性能预测
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Key words
noise /
hard disk drive (HDD) /
cooling fan /
performance prediction
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