基于置信規(guī)則庫的電路可靠性容差分析方法
發(fā)布時間：2018-11-03 16:01
【摘要】：電路可靠性容差分析是數/模電路設計與研發(fā)過程中的一個重要環(huán)節(jié),對于提高產品生產中的成品率,以及使用中的可靠性是十分重要的。目前對電路可靠性容差分析主要涉及兩大類方法,一是基于統(tǒng)計分析方法,二是基于幾何逼近的確定性方法,這些方法通常具有計算量大、要求電路性能函數形式較為簡單(其對應的設計域為單連通凸形)等缺點,這限制了它們在實際電路設計中的應用。實際上,在電路設計與電路仿真中,電路設計者或使用者會積累一些具有主觀性和不確定性的經驗知識,若將這些主觀知識與電路仿真客觀數據相結合進行容差分析,必將提升電路設計的效率并縮短產品的研發(fā)周期。為了實現(xiàn)該目的,本文基于置信規(guī)則庫模型,將主觀經驗信息與電路仿真數據相結合,給出新的電路可靠性容差分析及模型優(yōu)化方法,主要工作包括:(1)基于置信規(guī)則庫(BRB)的電路容差設計方法。建立描述電路元件參數值與電路性能指標值之間非線性映射關系的BRB模型;在設計域呈現(xiàn)非連通和非凸形的復雜情況下,提出基于BRB的電路容差初值求解及容差域優(yōu)化方法;通過Rosenbrock型的電路性能指標函數以及實際的軌道電路調諧單元共振性能指標函數為例,驗證了在設計域非連通和非凸形情況下,所提方法在相對小的計算代價下,可以精確地從設計域中確定所有的元件容差及中心值。(2)基于置信規(guī)則庫的電路中心值設計方法。當問題(1)中元件容差固定時,電路容差分析就是要找到元件的最優(yōu)中心值(標稱值)。建立基于BRB的電路可靠度估計模型,用其描述電路元件參數中心值與電路可靠度之間的非線性映射關系;然后,提出基于BRB電路中心值設計方法,其與傳統(tǒng)的統(tǒng)計分析方法相比,在計算量較低的前提下,不僅能找到單一的最優(yōu)中心值,更能確定滿足可靠度要求的整個中心值的設計域,從而為設計者提供多個備選的中心值;最后,本文仍利用軌道電路調諧單元元件參數中心值設計為例說明所提方法的有效性。(3)基于序列線性規(guī)劃的BRB模型參數優(yōu)化方法。通過對前兩個問題中BRB參數優(yōu)化模型的目標函數與約束條件進行一階泰勒展開,將參數優(yōu)化的非線性規(guī)劃問題轉化較為簡單的線性規(guī)劃問題;然后給定參數尋優(yōu)移動限,確定尋優(yōu)區(qū)間,進行線性搜索,將搜索結果用作新基點,重新線性化,直至找到滿足停止準則的BRB模型參數;該方法與傳統(tǒng)其他非線性優(yōu)化方法相比,線性規(guī)劃問題是較容易解決且精確度較高的方法,且該方法可以從可行解空間中的任意一點出發(fā)對參數進行訓練優(yōu)化;最后本文仍利用軌道電路調諧單元元件參數中心值設計為例,驗證本方法在訓練BRB模型參數上,優(yōu)化效率高的優(yōu)勢。
[Abstract]:Reliability tolerance analysis of circuits is an important part in the design and development of digital / analog circuits. It is very important to improve the product yield in production and the reliability in use. At present, the reliability tolerance analysis of circuits mainly involves two kinds of methods, one is based on statistical analysis method, the other is deterministic method based on geometric approximation. The simple form of circuit performance function (the corresponding design domain is a simple connected convex shape) is required, which limits their application in practical circuit design. In fact, in the circuit design and circuit simulation, the circuit designer or user will accumulate some subjective and uncertain experience knowledge. If the subjective knowledge is combined with the objective data of circuit simulation for tolerance analysis, It will improve the efficiency of circuit design and shorten the R & D cycle of products. In order to achieve this goal, a new method of reliability tolerance analysis and model optimization is presented by combining subjective empirical information with circuit simulation data based on the confidence rule base model. The main work includes: (1) the design method of circuit tolerance based on confidence rule base (BRB). A BRB model describing the nonlinear mapping relationship between circuit component parameter values and circuit performance index values is established, and an initial solution of circuit tolerance based on BRB and an optimization method in tolerance domain are proposed in the case of disconnected and non-convex design domain. Through the examples of the Rosenbrock type circuit performance function and the actual track circuit tuning unit resonance performance function, it is verified that the proposed method is of relatively small computational cost in the case of non-connected and non-convex design domain. All components tolerance and center values can be accurately determined from the design domain. (2) the circuit center value design method based on confidence rule base. When the component tolerance in problem (1) is fixed, the circuit tolerance analysis is to find the optimal center value (nominal value). The reliability estimation model based on BRB is established and used to describe the nonlinear mapping relationship between the central value of circuit component parameters and the reliability of the circuit. Then, the center value design method based on BRB circuit is proposed. Compared with the traditional statistical analysis method, the method can not only find the single optimal center value, but also find a single optimal center value. The design domain of the whole center value that meets the reliability requirement can be determined more, thus providing multiple alternative center values for the designer; Finally, an example is given to illustrate the effectiveness of the proposed method. (3) the BRB model parameter optimization method based on sequential linear programming (SLP). Through the first order Taylor expansion of the objective function and constraint conditions of the BRB parameter optimization model in the first two problems, the nonlinear programming problem of parameter optimization is transformed into a simple linear programming problem. Then given the parameter optimization moving limit, the optimization interval is determined, the linear search is carried out, and the search result is used as a new base point, and the search result is re-linearized until the parameters of the BRB model satisfying the stopping criterion are found. Compared with other traditional nonlinear optimization methods, the linear programming problem is easy to solve and has higher accuracy, and the method can train and optimize the parameters from any point in the feasible solution space. Finally, the center value design of track circuit tuning element is used as an example to verify the superiority of this method in training the parameters of BRB model with high optimization efficiency.
【學位授予單位】：杭州電子科技大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TN702
[Abstract]:Reliability tolerance analysis of circuits is an important part in the design and development of digital / analog circuits. It is very important to improve the product yield in production and the reliability in use. At present, the reliability tolerance analysis of circuits mainly involves two kinds of methods, one is based on statistical analysis method, the other is deterministic method based on geometric approximation. The simple form of circuit performance function (the corresponding design domain is a simple connected convex shape) is required, which limits their application in practical circuit design. In fact, in the circuit design and circuit simulation, the circuit designer or user will accumulate some subjective and uncertain experience knowledge. If the subjective knowledge is combined with the objective data of circuit simulation for tolerance analysis, It will improve the efficiency of circuit design and shorten the R & D cycle of products. In order to achieve this goal, a new method of reliability tolerance analysis and model optimization is presented by combining subjective empirical information with circuit simulation data based on the confidence rule base model. The main work includes: (1) the design method of circuit tolerance based on confidence rule base (BRB). A BRB model describing the nonlinear mapping relationship between circuit component parameter values and circuit performance index values is established, and an initial solution of circuit tolerance based on BRB and an optimization method in tolerance domain are proposed in the case of disconnected and non-convex design domain. Through the examples of the Rosenbrock type circuit performance function and the actual track circuit tuning unit resonance performance function, it is verified that the proposed method is of relatively small computational cost in the case of non-connected and non-convex design domain. All components tolerance and center values can be accurately determined from the design domain. (2) the circuit center value design method based on confidence rule base. When the component tolerance in problem (1) is fixed, the circuit tolerance analysis is to find the optimal center value (nominal value). The reliability estimation model based on BRB is established and used to describe the nonlinear mapping relationship between the central value of circuit component parameters and the reliability of the circuit. Then, the center value design method based on BRB circuit is proposed. Compared with the traditional statistical analysis method, the method can not only find the single optimal center value, but also find a single optimal center value. The design domain of the whole center value that meets the reliability requirement can be determined more, thus providing multiple alternative center values for the designer; Finally, an example is given to illustrate the effectiveness of the proposed method. (3) the BRB model parameter optimization method based on sequential linear programming (SLP). Through the first order Taylor expansion of the objective function and constraint conditions of the BRB parameter optimization model in the first two problems, the nonlinear programming problem of parameter optimization is transformed into a simple linear programming problem. Then given the parameter optimization moving limit, the optimization interval is determined, the linear search is carried out, and the search result is used as a new base point, and the search result is re-linearized until the parameters of the BRB model satisfying the stopping criterion are found. Compared with other traditional nonlinear optimization methods, the linear programming problem is easy to solve and has higher accuracy, and the method can train and optimize the parameters from any point in the feasible solution space. Finally, the center value design of track circuit tuning element is used as an example to verify the superiority of this method in training the parameters of BRB model with high optimization efficiency.
【學位授予單位】：杭州電子科技大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TN702
【相似文獻】
相關期刊論文 前10條
1 周小滬,江俊,紀志成;快速蒙特卡羅方法實現(xiàn)電子線路容差分析[J];電測與儀表;2004年04期
2 萬捷;;電子電路可靠性容差分析方法及標準[J];信息技術與標準化;2008年06期
3 李茜;肖素娟;李建辰;白志科;;一種接收系統(tǒng)電路容差分析研究[J];艦船科學技術;2010年03期
4 石永山;王飛;劉銘;;電路容差分析在設計中的應用[J];光電技術應用;2010年06期
5 胡經畬,荊木春;電路容差分析及其在型號工程中的應用[J];質量與可靠性;1994年06期
6 田瑋，，凌燮亭;基于區(qū)間線性方程組解的電路容差分析[J];電子學報;1995年09期
7 李紅;付興武;;基于容差分析的電路參數中心值設計研究[J];現(xiàn)代電子技術;2005年23期
8 龍春陽;譚陽紅;陳五立;賀迅宇;;模擬電路故障診斷的容差分析與處理研究[J];中國高新技術企業(yè);2007年03期
9 張尚珠;王海波;;容差分析中器件建模技術的探討[J];電子產品可靠性與環(huán)境試驗;2007年03期
10 劉維罡;沈頌華;駱明珠;;航空電源系統(tǒng)的容差分析及仿真研究[J];測控技術;2007年06期
相關會議論文 前1條
1 萬繼響;鐘鷹;王五兔;;星載天線饋電部件的容差分析[A];2009年全國天線年會論文集（下）[C];2009年
相關碩士學位論文 前9條
1 吳集;能源系統(tǒng)電路容差分析[D];國防科學技術大學;2002年
2 劉征;基于置信規(guī)則庫的電路可靠性容差分析方法[D];杭州電子科技大學;2016年
3 魏文博;容差分析和設計方法研究[D];西安電子科技大學;2005年
4 聶江西;民機中機身自動化裝配的容差分析方法與應用研究[D];上海交通大學;2015年
5 梁濤;飛機柔性裝配誤差累積與容差分析技術研究[D];沈陽航空航天大學;2013年
6 張堯;某型飛機尾段裝配工藝性及容差分析研究[D];沈陽航空航天大學;2014年
7 周f
本文編號：2308257
本文鏈接：http://sikaile.net/kejilunwen/dianzigongchenglunwen/2308257.html
