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factor identification
相关语句
  因素辨识
     Human Error Factor Identification Technique Based on Cognitive Activities Analysis
     基于认知行为分析的人误因素辨识技术研究
短句来源
     Human error factor identification plays a very important role to keep the complicated man-machine system safe and reliable.
     人误因素辨识是确保复杂人-机系统安全可靠运行的一个重要方面,其主要目的是找出各种可能引发系统故障、引起人员不安全操作的人员因素、系统技术和组织因素,预测系统中可能出现的人误模式及其概率,以采取有效防范措施,减少事故发生。
短句来源
     taking organization′ view as an example and according to human error factor identification and the analysed results of human error causes and modes,the construction course of the factor tree is explained and one complete human error factor tree has been obtained.
     以组织视图为例,根据因素辨识和人误原因及模式分析结果,阐述人误因素树的构建过程,最终得到了1个完整的人误因素树。
短句来源
     GERT random network is worked out by directly referring to relevant construction network charts,so as to bring the investment resolution,risk factor identification,and risk quantification to be more visualized,as well as the analysing process more approaching the actual one.
     GERT随机网络直接参考施工网络图绘制,使投资分解、风险因素辨识、量化等更具直观性,使分析过程更接近于实际。
短句来源
     Human error factors are identified by using multi[CD*2]view human error factor identification method and a detailed factor identification form is set up;
     运用人误因素辨识多视图法进行因素辨识,建立了详细的因素辨识表;
短句来源
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  “factor identification”译为未确定词的双语例句
     QUALITY FACTOR IDENTIFICATION BY CHIRP Z-TRANSFORM IN SMALL DAMPING SYSTEM
     用CHIRP-Z变换法识别小阻尼系统的品质因数
短句来源
     Environment Factor Identification in Waste Treatment Enterprises
     废弃物处理企业的环境因素识别
短句来源
     Signification and Standard of Environment Factor Identification in Green Administration System
     绿色行政体系中识别环境因素的意义及标准
短句来源
     The environment factor identification in waste treatment enterprises is analysed and the environment influence by wastes and chemi cals in waste treatment enterprises and the related environment factors are discussed in detail in the paper.
     分析了废弃物处理企业环境因素识别的问题 ,并对废弃物处理企业废物和化学品的环境影响以及相关方的环境因素进行了重点讨论
短句来源
     Risk factor identification and mortality prediction in cardiac surgery using artificial neural networks
     应用人工神经网络对心脏外科手术危险因素的识别和死亡率的预测
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  factor identification
We describe what may be considered a "real-world" example of behavior change counseling aimed at primary or secondary risk factor identification and modification for CHD in women.
      
Findings from a national survey of adult African Americans are presented as an example of risk factor identification for the purpose of specifying targets for preventive interventions.
      
Three bodies of knowledge relevant to black mental health are addressed: 1) the need for an epidemiologic knowledge base for prevention; 2) coping capacity and vulnerability to stress; 3) risk factor identification.
      
Unfortunately, they suffer from poor empirical results or poor factor identification.
      
Sequence divergence may have progressed to an extent that hampers factor identification by database mining.
      
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Load identifications are to calculate applied loads by using motion equations and measured data of motion parameters of a system. They are inverse problems of solving differential equations. The first part of this paper presents the basic theory of the frequency response function method in load identifications. The calculation formulas areH(w)F(w)=X(w) andSx(w) = H(w)Sf(w)H*T(w)which are suitable for different loads. Random loads are discussed for the 1st time in load identifications, so that the application...

Load identifications are to calculate applied loads by using motion equations and measured data of motion parameters of a system. They are inverse problems of solving differential equations. The first part of this paper presents the basic theory of the frequency response function method in load identifications. The calculation formulas areH(w)F(w)=X(w) andSx(w) = H(w)Sf(w)H*T(w)which are suitable for different loads. Random loads are discussed for the 1st time in load identifications, so that the application field of load identifications is enlarged. The second part of this paper presents in details the six-force-factor identification of helicopters. Three main aspects about six-force-factor identifications are described respectively. They are the calibration on the ground (the measurement of transfer matrix), the measurement of the structrual response in flight and the calculation of six-force-factor (solving Eq. ). Strains are for the first time chosen as the measurement parameters in the load identification. Not only the dynamic load but also the static load and the fatigue test data can be obtained at one time. Practice has proved that the direct measurement method of the strain stransfer matrix is simple and reliable if the number and locations of the measurement points are chosen rationally. As to measurement of moment transfer functions using eccentric forces, this paper gives expressions of transfomation matrices. The influence of the data processing and the method of solving equations on the results is also discussed in this paper. The six-force-factor of helicopters has been identified successfully. The data obtained can be used in design of the helicopters,

本文介绍载荷识别技术。提出了“应变传递矩阵法”载荷识别的基础理论、不同性质载荷的识别方法和公式。叙述了直升机飞行载荷-六力素识别的三个主要阶段:传递矩阵的确定(地面标定)、结构响应实测(空中飞行试验)、载荷计算(六力素计算)。文中还就随机载荷识别进行了讨论。

In this paper, on the principle of modern control theory, by mean's of analysing the construction and characteristic, the state equation of the safety system and the dynamic model of the safety degree is established, and the problem of the macro-forcasering of the safety system and the factor identification of the srate eqration is researched.The method was used by several plants, and the results were well.

用现代控制论原理,通过分析安全系统的结构及其特性,建立了安全系统状态方程和安全度的动态模型,探讨了安全系统的宏观预测及状态方程的参数辨识问题。运用本文所述方法,曾在几个工厂进行试点,取得良好效果。

This paper suggest a new kind of forgetting factor identification algorithm. With the aid of the self-tuning of the forgetting factor, the new algorithm can rapidly and accurately trace the system′s parameter variation, but add little computation burden, therefore, it is a suit of the parameter estimation of the time-varying system.

本文提出了一种遗忘因子模糊自调整辨识算法,理论分析和仿真试验表明,该方法对参数的快速时变具有较快的跟踪能力及较高的辨识精度,在线计算的复杂性和工作量增加较少,是一种实用的适于快速时变系统的辨识算法

 
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