本文選題：機(jī)械旋轉(zhuǎn)對稱性 + 概念體系��； 參考：《浙江大學(xué)》2012年碩士論文

【摘要】：對稱性廣泛存在于機(jī)械領(lǐng)域中,鏡射對稱性、旋轉(zhuǎn)對稱性和平移對稱性是三大基本對稱性。本文聚焦旋轉(zhuǎn)對稱性,搜集了大量設(shè)計實例,在實例標(biāo)準(zhǔn)化分析的基礎(chǔ)上應(yīng)用知識挖掘方法研究了機(jī)械旋轉(zhuǎn)對稱性在機(jī)械中的存在方式和作用機(jī)理,主要研究內(nèi)容及成果體現(xiàn)在以下四個方面： (1)建立了機(jī)械結(jié)構(gòu)旋轉(zhuǎn)對稱性概念體系。借鑒課題組機(jī)械對稱和機(jī)械對稱破缺的研究成果,在實例分析的基礎(chǔ)上提出了機(jī)械結(jié)構(gòu)旋轉(zhuǎn)對稱性的分類方法,建立了包含基本旋轉(zhuǎn)對稱、旋轉(zhuǎn)復(fù)合對稱、旋轉(zhuǎn)多對稱和旋轉(zhuǎn)對稱破缺等類型的機(jī)械結(jié)構(gòu)旋轉(zhuǎn)對稱性的概念體系。 (2)提出了改進(jìn)的Eclat關(guān)聯(lián)規(guī)則挖掘算法。為了克服課題組前期提出的比較模式映射關(guān)聯(lián)規(guī)則挖掘算法(CPM算法)事務(wù)空間伸縮性不佳的缺點,提出了改進(jìn)的Eclat關(guān)聯(lián)規(guī)則挖掘算法——Eclat_opt算法。與其它Eclat改進(jìn)算法和CPM算法的對比實驗表明,Eclat_opt算法適用的數(shù)據(jù)集類型范圍較廣、運行效率較高,在事務(wù)空間和支持度空間上的伸縮性較好,對于當(dāng)前及以后特征參數(shù)可能發(fā)生變化的機(jī)械對稱性實例數(shù)據(jù)庫都具有很強(qiáng)的適用性。 (3)機(jī)械旋轉(zhuǎn)對稱性知識挖掘與應(yīng)用。從知識挖掘的一般步驟出發(fā)給出了機(jī)械對稱性知識挖掘中的數(shù)據(jù)準(zhǔn)備、數(shù)據(jù)挖掘以及結(jié)果解釋和評估的流程,采用Eclat_opt算法挖掘了機(jī)械旋轉(zhuǎn)對稱性與設(shè)計需求、設(shè)計原理和設(shè)計準(zhǔn)則之間的關(guān)聯(lián)知識,重點分析了其中支持度和置信度較高的關(guān)聯(lián)知識,歸納了若干旋轉(zhuǎn)對稱性在機(jī)械設(shè)計中的效用的應(yīng)用知識并給出一個設(shè)計實例。 (4)開發(fā)了計算機(jī)輔助機(jī)械對稱性知識挖掘與應(yīng)用的軟件平臺。在上述理論和課題組前期開發(fā)的機(jī)械對稱實例知識挖掘(KDDMSI)原型系統(tǒng)的基礎(chǔ)上繼續(xù)開發(fā)了機(jī)械對稱性知識挖掘與應(yīng)用系統(tǒng)(MSKMAP),改進(jìn)了原系統(tǒng)的實例管理模塊和知識挖掘模塊,增強(qiáng)了實例分析、錄入和導(dǎo)出的靈活性,以及知識挖掘的多樣性和用戶友好性。
[Abstract]:Symmetry widely exists in the field of machinery, mirror symmetry, rotation symmetry and translation symmetry are three basic symmetries. In this paper, we focus on rotational symmetry, collect a large number of design examples, and apply knowledge mining method to study the existence and mechanism of mechanical rotational symmetry in machinery on the basis of case standardization analysis. The main research contents and achievements are as follows: (1) the concept system of rotating symmetry of mechanical structure is established. Based on the research results of mechanical symmetry and mechanical symmetry breaking, the classification method of rotating symmetry of mechanical structure is put forward on the basis of example analysis, and the basic rotational symmetry and rotating compound symmetry are established. The concept system of rotational symmetry of mechanical structures such as rotation-polysymmetry and rotation-symmetric breaking is presented. (2) an improved algorithm for mining Eclat association rules is proposed. In order to overcome the disadvantage of poor scalability in transaction space of the association rule mining algorithm of comparative pattern mapping (CPM), an improved Eclat association rule mining algorithm named EclatStat opt algorithm is proposed. Compared with other improved Eclat algorithm and CPM algorithm, the experimental results show that the Eclatopt algorithm is suitable for a wide range of data sets, high efficiency, and good scalability in transaction space and support space. It is very applicable to the case database of mechanical symmetry, which may change the characteristic parameters. (3) knowledge mining and application of mechanical rotational symmetry. Starting from the general steps of knowledge mining, the data preparation, data mining, result interpretation and evaluation flow of mechanical symmetry knowledge mining are given, and the mechanical rotation symmetry and design requirements are mined by using Eclatopt algorithm. The relevance knowledge between the design principle and the design criterion is analyzed, and the correlation knowledge with high degree of support and confidence is analyzed. In this paper, some applied knowledge of the utility of rotational symmetry in mechanical design is summarized and a design example is given. (4) A software platform for computer-aided knowledge mining and application of mechanical symmetry is developed. On the basis of the above theory and the prototype system of mechanical symmetry case knowledge mining (KDDMSI) developed by the research group, a mechanical symmetry knowledge mining and application system (MSKMAP) is developed, which improves the case management module and knowledge mining module of the original system. The flexibility of case analysis, input and export, diversity and user friendliness of knowledge mining are enhanced.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：TH12;TP311.13

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