本文選題：生命周期 + 可靠性增長��； 參考：《南昌大學(xué)》2017年碩士論文

【摘要】：硬件產(chǎn)品是使用極為廣泛的一類產(chǎn)品,從其生命周期的角度,完整地研究其可靠性增長機理及其估計問題,可以更為有效地促進或加速產(chǎn)品的可靠性增長,提高產(chǎn)品可靠度。更為準(zhǔn)確地預(yù)測可靠性增長情況并將其應(yīng)用于產(chǎn)品保修期的優(yōu)化設(shè)計,從而有效提升企業(yè)的經(jīng)濟效益和市場競爭力。為此,本文應(yīng)用定性與定量相結(jié)合的方法,分析研究了硬件產(chǎn)品在其全生命周期的可靠性增長機理及其估計,并以典型的硬件產(chǎn)品—某型掛壁式空調(diào)為應(yīng)用研究對象,提出了一種基于使用可靠性估計與聚類分析的硬件產(chǎn)品保修期優(yōu)化設(shè)計方法。論文首先從系統(tǒng)工程理論的角度,對硬件產(chǎn)品生產(chǎn)制造系統(tǒng)的特性以及組成要素進行了分析,給出了影響硬件產(chǎn)品生命周期可靠性增長的基本因素。根據(jù)硬件研制階段、試生產(chǎn)階段、全面生產(chǎn)階段以及相鄰階段間的生產(chǎn)制造特點,給出了對應(yīng)的可靠性增長影響因素。為了掌握階段內(nèi)相關(guān)因素對產(chǎn)品可靠性增長的影響,利用SPSS統(tǒng)計分析軟件進行了多元線性回歸分析,定量描述了各階段的顯著性可靠性增長影響因素及其影響程度。對于階段轉(zhuǎn)換過程出現(xiàn)的產(chǎn)品可靠性階躍變化,構(gòu)建了基于突變理論的尖點突變模型,對導(dǎo)致突變的影響因素進行了詳細分析,利用利用突變函數(shù)的歸一化公式結(jié)合模糊隸屬度函數(shù)對系統(tǒng)運行狀態(tài)的總突變隸屬度函數(shù)值的計算進行了描述,并以某硬件產(chǎn)品生產(chǎn)企業(yè)的四條生產(chǎn)系統(tǒng)為對象進行了應(yīng)用研究。最后,論文提出了利用產(chǎn)品使用可靠性估計結(jié)果結(jié)合模糊C均值聚類法進行保修期制定的研究策略,以某型掛壁式空調(diào)為案例分析對象開展了應(yīng)用研究。論文給出的基于多元線性回歸以及突變理論的硬件產(chǎn)品生命周期階段內(nèi)及相鄰階段間可靠性增長機理的定性與定量研究成果,提出的基于使用可靠性水平與模糊C均值聚類的產(chǎn)品保修期制定方法,為進一步開展相關(guān)研究工作奠定了基礎(chǔ),對促進硬件產(chǎn)品生命周期內(nèi)的可靠性增長并有效應(yīng)用增長結(jié)果具有一定的理論和實際指導(dǎo)意義。
[Abstract]:Hardware products are a kind of widely used products. From the point of view of its life cycle, a complete study on the mechanism of reliability growth and its estimation can promote or accelerate the reliability growth of products more effectively and improve the reliability of products. The reliability growth is predicted more accurately and applied to the optimal design of product warranty period, so as to effectively enhance the economic efficiency and market competitiveness of enterprises. Therefore, this paper applies qualitative and quantitative methods to analyze and study the reliability growth mechanism and estimation of hardware products in their whole life cycle, and takes a typical hardware product, a certain type of wall air conditioning, as the application research object. This paper presents an optimal design method for the warranty life of hardware products based on reliability estimation and clustering analysis. Firstly, from the point of view of system engineering theory, the characteristics and components of hardware product manufacturing system are analyzed, and the basic factors influencing the reliability growth of hardware product life cycle are given. According to the manufacturing characteristics of hardware development stage, trial production stage, total production stage and adjacent stage, the corresponding factors affecting reliability growth are given. In order to understand the influence of related factors on product reliability growth in different stages, a multivariate linear regression analysis was carried out by using SPSS statistical analysis software, and the influencing factors and their influence degree of significant reliability growth in each stage were quantitatively described. For the step change of product reliability in the process of stage transition, a cusp catastrophe model based on catastrophe theory is constructed, and the factors influencing the mutation are analyzed in detail. The calculation of the total abrupt membership function of the system is described by using the normalized formula of the catastrophe function and the fuzzy membership function. The application of four production systems in a hardware production enterprise is studied. Finally, the paper puts forward the research strategy of establishing warranty period by using the result of product reliability estimation and fuzzy C-means clustering method, and takes a certain type of hanging air conditioning as a case study object to carry out an application study. The qualitative and quantitative research results of reliability growth mechanism in hardware product life cycle and adjacent phases based on multivariate linear regression and catastrophe theory are presented in this paper. Based on the clustering of reliability level and fuzzy C-means, the method of making warranty period is put forward, which lays a foundation for further research work. It has a certain theoretical and practical significance for promoting the reliability growth in the hardware product life cycle and effectively applying the growth results.
【學(xué)位授予單位】：南昌大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TB657.2;O213.2

【參考文獻】

相關(guān)期刊論文 前10條

1 劉衛(wèi)東;劉洋;張芳;汪懷中;李捷;;掛壁式空調(diào)系統(tǒng)的可靠度預(yù)測與分配模型及其應(yīng)用研究[J];工業(yè)工程與管理;2016年01期

2 劉衛(wèi)東;宋浩瑋;揭麗琳;劉桂平;胡盛文;;基于可靠性增長的硬件產(chǎn)品保修期優(yōu)化[J];南昌大學(xué)學(xué)報(理科版);2015年02期

3 韓鋒;王昌海;侯一蕾;吳靜;溫亞利;;自然保護區(qū)周邊社區(qū)薪柴消費影響因素分析[J];資源科學(xué);2014年05期

4 李捷;劉衛(wèi)東;;n個部件和開關(guān)組成的時序轉(zhuǎn)換系統(tǒng)的可靠性[J];南昌大學(xué)學(xué)報(理科版);2014年02期

5 李明;;定型產(chǎn)品可靠性增長技術(shù)研究[J];儀表技術(shù);2014年02期

6 劉衛(wèi)東;宋浩瑋;趙志偉;李捷;;基于聚類分析和時間濃縮的空調(diào)可靠性評估[J];工業(yè)工程與管理;2013年04期

7 李竹文;戴煥云;;基于突變理論的列車脫軌機理研究[J];鐵道建筑;2013年01期

8 李建峰;趙惠燕;杜超;孟慶祥;Piyaratne MKDK;;獼猴桃園節(jié)肢動物群落演替的突變模型研究及穩(wěn)定性分析[J];西北農(nóng)林科技大學(xué)學(xué)報(自然科學(xué)版);2012年10期

9 趙旭;胡斌;;基于突變理論的企業(yè)員工反生產(chǎn)行為研究[J];管理科學(xué);2012年04期

10 曹惠玲;趙明;曲春剛;薛鵬;;可靠性數(shù)據(jù)在民機故障診斷中的應(yīng)用研究[J];中國安全科學(xué)學(xué)報;2011年10期

相關(guān)博士學(xué)位論文 前1條

1 蔣平;機械制造的工藝可靠性研究[D];國防科學(xué)技術(shù)大學(xué);2010年

相關(guān)碩士學(xué)位論文 前6條

1 邱麗萍;基于空調(diào)可靠性影響因素的中國大陸省會城市和中央直轄市區(qū)域聚類分析[D];南昌大學(xué);2015年

2 宋浩瑋;基于售后故障數(shù)據(jù)的空調(diào)可靠性評估及其保修期優(yōu)化研究[D];南昌大學(xué);2013年

3 黃兆哲;數(shù)控高速沖床的故障分析與研究[D];吉林大學(xué);2013年

4 林睦炎;基于失效數(shù)據(jù)的軟件可靠性模型的選擇與預(yù)測研究及實現(xiàn)[D];昆明理工大學(xué);2013年

5 解晶;保修策略下的成本與保修期研究[D];天津大學(xué);2005年

6 裴詠紅;數(shù)控機床可靠性增長實用技術(shù)[D];吉林大學(xué);2004年

，

本文編號：2021536