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1.
多响应试验设计的优化方法研究   总被引:4,自引:0,他引:4  
何桢  张于轩 《工业工程》2003,6(4):35-38
提出了一种改进的马氏距离函数法来解决质量工程中的多响应优化问题。与传统的马氏距离法相比,该方法除考虑了响应之间方差—协方差矩阵结构的影响,还考虑了过程的经济性。通过在规定的试验区域内对此函数进行最小化,能够得到一组合理的可控变量组合,从而达到多响应优化的目的。  相似文献   

2.
基于STFrFT域无穷范数的CT图像边缘检测   总被引:1,自引:0,他引:1  
针对医学CT图像边缘模糊、对比度低、噪声污染严重等特点,本文提出了短时分数阶傅里叶变换域的向量无穷范数方法,用于CT图像的边缘检测。短时分数阶傅里叶变换域的虚部能够反映非平稳信号的局部信息。首先,对一维非平稳信号做短时分数阶傅里叶变换,得到短时分数阶傅里叶变换域;其次,计算变换域虚部的向量无穷范数,将二维时频面映射为一维信号,得到非平稳信号的边缘信息。实验表明本文方法具有检测信号边缘的能力,能够有效提取CT图像的边缘,对弱边缘信号也具有较好的检测结果。与经典微分算子和小波变换比较表明,本文方法对CT图像边缘检测表现优良,对噪声污染图像具有较好的鲁棒性。  相似文献   

3.
多响应问题的稳健性设计优化   总被引:1,自引:0,他引:1  
杨方  高齐圣  于增顺 《工业工程》2010,13(3):43-46,70
基于双响应曲面方法提出了一种解决多响应稳健设计的优化方案。对多响应稳健设计优化问题进行分析,提出了双响应曲面方法与满意度函数法相结合的稳健优化设计方法。该方法通过引入多响应均值满意度和多响应方差满意度,将可控因素和噪声因素的波动产生的方差结合到满意度函数中,并考虑了优化结果的稳健性。采用该方法对文献实例进行分析,得到了较好的优化结果。  相似文献   

4.
徐亚兰  陈建军 《工程力学》2013,30(10):1-4,13
在空间范数定义的基础上,推导出了结构模态空间范数的计算公式。考虑压电柔性结构振动控制中作动器分布对结构建模与控制性能的影响,利用模态空间范数度量各个模态对结构动力响应的贡献,并对结构进行了模态选择与模型降阶。利用所建立的降阶模型,设计了一个对受外部干扰结构进行振动抑制的动态输出反馈]]>;  相似文献   

5.
在21世纪的竞争环境中,满足顾客多样化需求是企业面临的一大挑战。基于此,本文阐述了在产品设计过程中如何同时优化多个质量特性,并使得最终参数符合稳健设计的理念。本文在回顾了响应曲面法、田口三次设计法、满意度函数法的基础上,综合分析了目前多响应稳健优化设计的研究现状,最终提出将信噪比作为衡量多响应稳健性指标的可行性。  相似文献   

6.
本文论述了复杂系统及多学科优化中的协同优化思想和数学模型,指出了协同优化中的一个突出问题,即学科不一致、实际运用中需要对其进行协调处理的局限性。论述了解决学科不一致问题的二次响应面近似方法思想及算法。通过一个实例,介绍了运用二次响应面近似法的方法,仿真了优化过程,验证了二次响应面方法在系统级优化上迭代次数较少,在学科优化上却相对要多的特征。  相似文献   

7.
针对质量特性为轮廓(Profile)的输出响应的优化问题展开研究,提出一种基于主成分分析的双响应曲面法和满意度函数相结合的函数响应优化方法。将Profile的每个观测点看成一个独立响应,将Profile问题转化为多响应问题。求得多个观测点的均值和方差的满意度函数值,通过主成分分析法,将多个观测点的均值和方差的满意度函数值转化为主成分综合得分,并将这两者的加权和作为最终的优化指标。本文所提方法可以有效解决观测点之间存在的相关性的问题,并且优化过程同时考虑到每个观测点响应的均值和方差影响。实例证明,该方法简单易行,优化结果满意。  相似文献   

8.
采用在双体单自由度结构间设立Kelvin型被动控制单元的最优参数表达式,并基于等效双体单自由度体系求得了相邻多层剪切型结构间控制器最优参数。利用列举法并基于二次型性能指标值(LQR)确定了控制器优化布置位置,讨论了布置控制器后对结构地震响应的影响以及对结构动力特性的影响,通过数值分析证实了采用等效双体单自由度体系代替相邻多自由度结构体系的正确性,表明了这种被动控制方法能够非常有效地减小在地震作用下相邻结构的地震响应。  相似文献   

9.
针对具有多个响应的熔融沉积成型稳健性参数优化问题,提出一种采用最小二乘支持向量回归机和改进双响应曲面法相结合的新方法。首先,利用拉丁超立方设计获取样本集,通过满意度函数法把多响应优化问题转化为单一响应优化问题;其次,采用最小二乘支持向量回归机分别拟合综合均值满意度和综合方差满意度的两个响应曲面模型;然后,以最大化综合均值满意度与综合方差满意度的几何平均值为寻优目标,采用遗传算法对模型寻优并进行实验验证;最后,将本文方法与改进双响应曲面法进行对比。结果表明,本文方法的优化效果更佳,验证了方法的有效性。  相似文献   

10.
提出一种在有限元分析中判定结构系统是否失效的准则。实例验证该准则具有较高的可信度。依据该准则经有限元分析可确定样本点所在的状态空间。建立起一种重构结构功能函数的统一方法:状态空间响应面方法,解决了一般响应面方法不能求解输出变量不连续分布的问题。该方法以样本点距离失效空间和可靠空间的距离之差作为样本点的输出变量。数值仿真实例表明该方法有一定的广泛性并具有较高的精度。  相似文献   

11.
    
In robust design studies, location and dispersion effects play different roles, and balancing them when there are multiple responses is an important and challenging task. We propose to use desirability function to simultaneously optimize multiple responses after assigning weights to reflect the relative importance of location and dispersion effects. Our analytical strategy is to plot the solutions obtained from different weights versus the weights and/or some aspects of the solutions versus the weights. These plots provide valuable information that can be useful in choosing one or more compromise solutions to balance the multiple location and dispersion effects. The proposed approach is illustrated using two real problems. Copyright © 2012 John Wiley & Sons, Ltd.  相似文献   

12.
    
A desirability function approach has been widely used in multi‐response optimization due to its simplicity. Most of the existing desirability function‐based methods assume that the variability of the response variables is stable; thus, they focus mainly on the optimization of the mean of multiple responses. However, this stable variability assumption often does not apply in practical situations; thus, the quality of the product or process can be severely degraded due to the high variability of multiple responses. In this regard, we propose a new desirability function method to simultaneously optimize both the mean and variability of multiple responses. In particular, the proposed method uses a posterior preference articulation approach, which has an advantage in investigating tradeoffs between the mean and variability of multiple responses. It is expected that process engineers can use this method to better understand the tradeoffs, thereby obtaining a satisfactory compromise solution.  相似文献   

13.
    
The multi‐response optimization (MRO) problem in response surface methodology is quite common in applications. Most of the MRO techniques such as the desirability function method by Derringer and Suich are utilized to find one or several optimal solutions. However, in fact, practitioners usually prefer to identify all of the near‐optimal solutions, or all feasible regions, because some feasible regions may be more desirable than others based on practical considerations. In this paper, with benefits from the stochastic property of a genetic algorithm (GA), we present an innovative procedure using a modified GA (MGA), a computational efficient GA with a local directional search incorporated into the GA process, to approximately generate all feasible regions for the desirability function without the limitation of the number of factors in the design space. The procedure is illustrated through a case study. The MGA is also compared with other commonly used methods for determining the set of feasible regions. Using Monte Carlo simulations with two benchmark functions and a case study, it is shown that the MGA can more efficiently determine the set of feasible regions than the GA, grid methods, and the Nelder–Mead simplex algorithm. Copyright © 2011 John Wiley & Sons, Ltd.  相似文献   

14.
    
Multi‐response optimization (MRO) in response surface methodology is quite common in applications. Before the optimization phase, appropriate fitted models for each response are required. A common problem is model misspecification and occurs when any of the models built for the responses are misspecified resulting in an erroneous optimal solution. The model robust regression (MRR) technique, a semiparametric method, has been shown to be more robust to misspecification than either parametric or nonparametric methods. In this study, we propose the use of MRR to improve the quality of model estimation and adapt its fits of each response to the desirability function approach, one of the most popular MRO techniques. A case study and simulation studies are presented to illustrate the procedure and to compare the semiparametric method with the parametric and nonparametric methods. The results show that MRR performs much better than the other two methods in terms of model comparison criteria in most situations during the modeling stage. In addition, the simulated optimization results for MRR are more reliable during the optimization stage. Copyright © 2010 John Wiley & Sons, Ltd.  相似文献   

15.
    
《Quality Engineering》2012,24(3):365-368
  相似文献   

16.
Yield analysis is one of the key concerns in the fabrication of semiconductor wafers. An effective yield analysis model will contribute to production planning and control, cost reductions and the enhanced competitiveness of enterprises. In this article, we propose a novel discrete spatial model based on defect data on wafer maps for analyzing and predicting wafer yields at different chip locations. More specifically, based on a Bayesian framework, we propose a hierarchical generalized linear mixed model, which incorporates both global trends and spatially correlated effects to characterize wafer yields with clustered defects. Both real and simulated data are used to validate the performance of the proposed model. The experimental results show that the newly proposed model offers an improved fit to spatially correlated wafer map data.  相似文献   

17.
18.
    
A model‐based scheme is proposed for monitoring multiple gamma‐distributed variables. The procedure is based on the deviance residual, which is a likelihood ratio statistic for detecting a mean shift when the shape parameter is assumed to be unchanged and the input and output variables are related in a certain manner. We discuss the distribution of this statistic and the proposed monitoring scheme. An example involving the advance rate of a drill is used to illustrate the implementation of the deviance residual monitoring scheme. Finally, a simulation study is performed to compare the average run length (ARL) performance of the proposed method to the standard Shewhart control chart for individuals. Copyright © 2003 John Wiley & Sons, Ltd.  相似文献   

19.
    
A gauge repeatability and reproducibility (R&R) method is developed to assess the capability of a measurement system. Although gauge capability studies have received substantial attention, few studies have investigated attribute data despite their wide application in industry. The primary aim of this research is to develop a procedure, based on the generalized linear model, to evaluate the R&R of a measurement system for attribute data. To calculate repeatability of a system, the procedure integrates the iterative weighted least squares (IWLS) method and deviance analysis. The proposed procedure is applied to an inclusion measurement system to verify its adequacy to model the process capability. Copyright © 2007 John Wiley & Sons, Ltd.  相似文献   

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