Taguchi method-based probabilistic load flowTaguchi orthogonal arrayLoad flow studies are crucial in investigations of operation and planning problems in the power systems. Traditional methods for determining load flow are based on deterministic approaches. However, the parameters of a power system (such...
2.正交表(OrthogonalArray): 正交表是正交实验设计的基本工具.是在运用组合数学理论的正交拉丁方的 基础上构造的一种规格化的表格.其符号为L n (j i ) 其中: L–正交表的代号 n-正交表的行数,即实验次数 j-正交表中的数码,即因素的位级数 I-正交表的列数,即实验因素的个数 ...
Taguchi(田口)method实验设计是利用正交表来挑选实验条件和安排实验的实验方法.最早是由***质量管理专家...
也就是实验的处置数(实验次数)或实验的 2*2 C A B C D A B 条件数 3*3 D A B C 4*4 k :直交表的行数,也就是实验可考虑的因素个数 t :直交表的行可考虑的水准数,也就是配置因素的水准数 第五章 直交表配置 第五章 直交表配置 直交表的格式 直交表实验(Orthogonal Array) 因素个数...
As the investigated four dimensional parameter space would require excessive measurement time when using a full-factorial approach, an optimal experimental method based on Taguchi orthogonal array (Taguchi OA) [18] was chosen to find the optimal parameter levels. Based on the experimental results, ...
Compared with traditional optimization techniques, Taguchi's optimization method is easy to implement and very efficient in reaching optimum solutions.Taguchi's optimization method is developed based on the orthogonal array (OA) concept, which offers a systematic and efficient way to select design ...
DOE&Taguchi Method讲义-1 DesignofExperimentsDOE&TaguchiMethods 第一階段I.實驗設計的專門術語及概論(DOEIntroduction)第二階段(REVIEW-1)II.實驗設計與變異數分析(DOE&ANOVA)III.實驗設計基本原則(DOEPrinciple)第三階段(REVIEW-2)IV.實驗設計實施步驟(DOEImplementation)V.直交表分析(OrthogonalArray)第四階段(...
The 64 orthogonal arrays,which originated from the literatures in Chinese,are categorized according to self-checking of quadratic sum and degree of freedom. 对来自中文源文献的64张正交表按其有无平方和、自由度的自检功能进行了分组归类。 2. In the first piece of writing, a new method of data ...
Fariba Tadayon , Shiva Motahar and M.Hosseini, "Application Of Taguchi Method For Optimizing The Adsorption Of Lead Ions On Nanocomposite Silica Aerogel Activated Carbon", Academic Research International, IISSN: 2223-9944, Vol. 2, No. 2, March 2012, pp 42-48....
The method aims to determine the main factors that affect the results with the smallest number of experimental studies. In this study, L16 (2) orthogonal array, which was used in the Taguchi parameter design was reconstructed with the Support Vector Machines learning model and the Pearson VII ...