A methodology, termed estimation error minimization(EEM) method, was proposed to determine the optimal number and locations of sensors so as to better estimate the vibration response of the entire structure. Utilizing...A methodology, termed estimation error minimization(EEM) method, was proposed to determine the optimal number and locations of sensors so as to better estimate the vibration response of the entire structure. Utilizing the limited sensor measurements, the entire structure response can be estimated based on the system equivalent reduction-expansion process(SEREP) method. In order to compare the capability of capturing the structural vibration response with other optimal sensor placement(OSP) methods, the effective independence(EI) method, modal kinetic energy(MKE) method and modal assurance criterion(MAC) method, were also investigated. A statistical criterion, root mean square error(RMSE), was employed to assess the magnitude of the estimation error between the real response and the estimated response. For investigating the effectiveness and accuracy of the above OSP methods, a 31-bar truss structure is introduced as a simulation example. The analysis results show that both the maximum and mean of the RMSE value obtained from the EEM method are smaller than those from other OSP methods, which indicates that the optimal sensor configuration obtained from the EEM method can provide a more accurate estimation of the entire structure response compared with the EI, MKE and MAC methods.展开更多
针对SRAM(Static Random Access Memory)型FPGA单粒子翻转引起软错误的问题,该文分析了单粒子单位翻转和多位翻转对布线资源的影响,提出了可以减缓软错误的物理设计方法。通过引入布线资源错误发生概率评价布线资源的软错误,并与故障传...针对SRAM(Static Random Access Memory)型FPGA单粒子翻转引起软错误的问题,该文分析了单粒子单位翻转和多位翻转对布线资源的影响,提出了可以减缓软错误的物理设计方法。通过引入布线资源错误发生概率评价布线资源的软错误,并与故障传播概率结合计算系统失效率,驱动布局布线过程。实验结果表明,该方法在不增加额外资源的情况下,可以降低系统软错误率约18%,还可以有效减缓多位翻转对系统的影响。展开更多
基金Project(2011CB013804)supported by the National Basic Research Program of China
文摘A methodology, termed estimation error minimization(EEM) method, was proposed to determine the optimal number and locations of sensors so as to better estimate the vibration response of the entire structure. Utilizing the limited sensor measurements, the entire structure response can be estimated based on the system equivalent reduction-expansion process(SEREP) method. In order to compare the capability of capturing the structural vibration response with other optimal sensor placement(OSP) methods, the effective independence(EI) method, modal kinetic energy(MKE) method and modal assurance criterion(MAC) method, were also investigated. A statistical criterion, root mean square error(RMSE), was employed to assess the magnitude of the estimation error between the real response and the estimated response. For investigating the effectiveness and accuracy of the above OSP methods, a 31-bar truss structure is introduced as a simulation example. The analysis results show that both the maximum and mean of the RMSE value obtained from the EEM method are smaller than those from other OSP methods, which indicates that the optimal sensor configuration obtained from the EEM method can provide a more accurate estimation of the entire structure response compared with the EI, MKE and MAC methods.
文摘针对SRAM(Static Random Access Memory)型FPGA单粒子翻转引起软错误的问题,该文分析了单粒子单位翻转和多位翻转对布线资源的影响,提出了可以减缓软错误的物理设计方法。通过引入布线资源错误发生概率评价布线资源的软错误,并与故障传播概率结合计算系统失效率,驱动布局布线过程。实验结果表明,该方法在不增加额外资源的情况下,可以降低系统软错误率约18%,还可以有效减缓多位翻转对系统的影响。
