本文選題：復雜作用關系過程 + 穩(wěn)健性參數(shù)設計　； 參考：《鄭州大學》2014年碩士論文

【摘要】：穩(wěn)健性參數(shù)設計是提高制造過程穩(wěn)定性,減小產(chǎn)品質量波動的主要方法。隨著技術水平的不斷提高,眾多行業(yè)出現(xiàn)了大量的作用關系復雜的制造過程,這些過程擁有多個極值點,而且其影響因子與響應輸出之間存在高階非線性關系�，F(xiàn)有的穩(wěn)健性參數(shù)設計方法由于實驗設計方式、模型形式的限制,只能局部優(yōu)化參數(shù),不適用于復雜工藝過程的穩(wěn)健性研究。如何在可行域全局范圍內(nèi)對質量特性的均值與方差進行有效建模,進而實現(xiàn)復雜作用過程全局意義上的穩(wěn)健性優(yōu)化,成為制造業(yè)質量改進的關鍵問題之一。本文從全局穩(wěn)健性的角度探究復雜作用過程的參數(shù)優(yōu)化問題,主要研究內(nèi)容如下： (1)構建了基于支持向量機的單一響應模型。采用單一響應建模方式,研究可控因子變差和噪聲因子波動規(guī)律對響應輸出的影響,并結合因子的聯(lián)合概率分布,以多重積分的形式呈現(xiàn)該影響規(guī)律；進而利用支持向量機優(yōu)良的泛化性能,建立起復雜作用關系過程全局范圍內(nèi)響應均值與方差的連續(xù)變化模型。在擬合模型的基礎上,通過取點將擬合值與實際值及雙響應擬合值進行對比分析,證明了所提方法具有良好的擬合性能和預測性能。 (2)對建立的模型進行了穩(wěn)健性參數(shù)尋優(yōu)研究。提出利用可行域劃分方法研究望大、望小問題的全局尋優(yōu)過程；針對遺傳算法提出使用均勻設計構造初始種群,針對序列二次規(guī)劃方法提出使用可控因子組合角點和中心點作為初始點,然后使用改進后的算法對非線性問題進行最優(yōu)值求解。 (3)利用所提建模優(yōu)化方法進行仿真及實證研究。運用單一響應建模構建電感電阻串聯(lián)電路和螺母生產(chǎn)過程的近似模型,使用所提優(yōu)化策略對回歸模型進行參數(shù)尋優(yōu),通過分析選取最佳因子組合方案,驗證結果表明了所提建模方法和優(yōu)化策略在復雜作用關系過程穩(wěn)健性參數(shù)優(yōu)化研究中的有效性和實用性。 本文提出了適用于復雜作用關系過程的全局式穩(wěn)健性參數(shù)優(yōu)化思想及相應的實現(xiàn)方法和應用技術路線,研究成果拓展了穩(wěn)健性參數(shù)設計的研究領域,對于制造業(yè)減少過程波動,提高產(chǎn)品質量具有顯著的現(xiàn)實意義和較高的實用價值。
[Abstract]:Robustness parameter design is the main method to improve the stability of the manufacturing process and reduce the fluctuation of product quality. With the continuous improvement of the technical level, a large number of industries have a large number of complex manufacturing processes. These processes have multiple extreme points, and there is a high order nonlinear relationship between the impact factor and the response output. Some robust parameter design methods are limited by experimental design method and model form, only local optimization parameters can not be applied to the robustness study of complex process process. How to model the mean and variance of the quality characteristics effectively in the global scope of the feasible domain, and then realize the stability and robustness in the global significance of the complex process process. It is one of the key problems of quality improvement in manufacturing industry. This paper explores the parameter optimization of complex process from the perspective of global robustness. The main contents are as follows:
(1) a single response model based on support vector machine is constructed. Using a single response modeling method, the influence of the variation of controllable factor and the fluctuation law of noise factor on the response output is studied. Combined with the joint probability distribution of factors, the influence law is presented in the form of multiple integral, and then the excellent generalization performance of the support vector machine is built. A continuous variation model of the mean and variance in the global response process is established. On the basis of the fitting model, the fitting values are compared with the actual values and the two response values. It is proved that the proposed method has good fitting performance and predictive performance.
(2) the robust parameter optimization of the established model is studied. The global optimization process is studied by using the feasible domain division method. The initial population is constructed by using uniform design for genetic algorithm, and the control factor combination corner and the center point are used as the initial point for the sequence two programming method. Then, the improved algorithm is used to solve the nonlinear problem.
(3) using the proposed modeling optimization method to carry out simulation and empirical research. An approximate model of inductor resistance series circuit and nut production process is constructed by using single response modeling. The optimization strategy is used to optimize the parameters of the regression model, and the best factor combination scheme is selected. The results show the modeling method and the advantage of the proposed model. The effectiveness and practicability of chemical strategy in robust parameter optimization of complex interaction processes.
In this paper, the global robustness parameter optimization idea, the corresponding implementation method and the application technical route for the complex interaction process are proposed. The research results expand the research field of the robustness parameter design, and have significant practical significance and high practical value for the manufacturing industry to reduce the process fluctuation and improve the quality of the product.
【學位授予單位】：鄭州大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TB472

【參考文獻】

相關期刊論文 前10條

1 許煥衛(wèi);黃洪鐘;張旭;;基于模糊折中規(guī)劃的穩(wěn)健多目標優(yōu)化設計[J];大連理工大學學報;2007年03期

2 張旭;孫偉;許煥衛(wèi);董榮梅;;交互式模糊穩(wěn)健優(yōu)化設計及其應用[J];大連理工大學學報;2010年05期

3 朱鵬飛;何楨;;考慮因子容差的多響應曲面穩(wěn)健優(yōu)化[J];系統(tǒng)工程;2011年04期

4 樊樹海;Amanda Elizabeth;;多元質量損失模型的系數(shù)確定[J];工業(yè)工程;2012年03期

5 方俊濤;何楨;宋琳曦;張陽;;響應曲面建模的穩(wěn)健M-回歸方法[J];工業(yè)工程;2012年03期

6 高妮妮;劉子先;;基于馬氏田口方法的單病種成本影響因素優(yōu)化選擇[J];工業(yè)工程;2012年05期

7 何楨;張迎冬;;基于主成分分析的多響應穩(wěn)健性優(yōu)化方法研究[J];工業(yè)工程與管理;2012年06期

8 趙長春;姜曉愛;金英漢;;非線性回歸支持向量機的SMO算法改進[J];北京航空航天大學學報;2014年01期

9 萬杰;于海生;;改進的雙響應曲面法在穩(wěn)健設計中的應用研究[J];河北工業(yè)大學學報;2011年02期

10 曹茹;;基于工程模型的換熱器穩(wěn)健性優(yōu)化設計[J];華中科技大學學報(自然科學版);2011年12期

，

本文編號：1932674