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    • 66. 发明授权
    • Selectively mitigating multiple vibration sources in a computer system
    • 选择性地减轻计算机系统中的多个振动源
    • US07761244B2
    • 2010-07-20
    • US11852059
    • 2007-09-07
    • Kenny C. GrossAleksey M. UrmanovKalyanaraman Vaidyanathan
    • Kenny C. GrossAleksey M. UrmanovKalyanaraman Vaidyanathan
    • G06F19/00G11B5/00
    • G11B33/08
    • One embodiment of the present invention provides a system that mitigates the effects of multiple vibration sources on a set of hard disk drives (HDDs) within a computer system. During operation, the system identifies a target HDD in the set of HDDs, wherein the performance of the target HDD is affected by mechanical vibrations. The system also identifies one or more primary vibration sources from the multiple vibration sources that affect the performance of the target HDD. Next, for each of the primary vibration sources, the system measures a first time-domain signal associated with the operation of the primary vibration source using a first vibration transducer associated with the primary vibration source. The system also measures a second time-domain signal associated with the target HDD using a second vibration transducer associated with the target HDD. Next, for each of the primary vibration sources, the system then computes a cross-power-spectral-density (CPSD) between the first and the second time-domain signals. The system then selectively mitigates the primary vibration sources based on the CPSDs between the primary vibration sources and the target HDD.
    • 本发明的一个实施例提供一种减轻多个振动源对计算机系统内的一组硬盘驱动器(HDD)的影响的系统。 在操作期间,系统识别该组HDD中的目标HDD,其中目标HDD的性能受到机械振动的影响。 该系统还识别影响目标HDD性能的多个振动源的一个或多个主要振动源。 接下来,对于每个主振动源,系统使用与主振动源相关联的第一振动换能器来测量与主振动源的操作相关联的第一时域信号。 该系统还使用与目标HDD相关联的第二振动传感器来测量与目标HDD相关联的第二时域信号。 接下来,对于每个主振动源,系统然后计算第一和第二时域信号之间的交叉功率谱密度(CPSD)。 然后,该系统基于主振动源和目标HDD之间的CPSD选择性地减轻主振动源。
    • 69. 发明申请
    • CHARACTERIZING A COMPUTER SYSTEM USING A PATTERN-RECOGNITION MODEL
    • 使用模式识别模型表征计算机系统
    • US20100082299A1
    • 2010-04-01
    • US12240211
    • 2008-09-29
    • Ramakrishna C. DhanekulaKeith A. WhisnantKenny C. Gross
    • Ramakrishna C. DhanekulaKeith A. WhisnantKenny C. Gross
    • G06F15/00
    • G06F1/206G06F11/0706G06F11/0751G06F11/3428G06F11/3476
    • Some embodiments of the present invention provide a system that characterizes a computer system using a pattern-recognition model. First, values for an environmental parameter are monitored from a set of sensors associated with the computer system. Then, a baseline for the environmental parameter is calculated based on the monitored values from a subset of the set of sensors. Next, the baseline is subtracted from the monitored values from sensors in the set of sensors to produce compensated values. Then, the compensated values are used as inputs to the pattern-recognition model, which produces estimates for the compensated values based on correlations between the compensated values learned during a training phase. Next, residuals are calculated by subtracting the estimates for the compensated values from the compensated values. Then, the residuals are analyzed to characterize the computer system.
    • 本发明的一些实施例提供一种表征使用模式识别模型的计算机系统的系统。 首先,从与计算机系统相关联的一组传感器监测环境参数的值。 然后,基于来自传感器组的子集的监视值来计算环境参数的基线。 接下来,从传感器组中的传感器的监视值中减去基线,以产生补偿值。 然后,补偿值被用作模式识别模型的输入,其基于在训练阶段期间学习的补偿值之间的相关性而产生对补偿值的估计。 接下来,通过从补偿值中减去补偿值的估计值来计算残差。 然后,分析残差以表征计算机系统。