硬件产品生命周期的可靠性增长机理及其估计研究

发布时间：2018-06-15 09:21

本文选题：生命周期 + 可靠性增长　；参考：《南昌大学》2017年硕士论文

【摘要】：硬件产品是使用极为广泛的一类产品,从其生命周期的角度,完整地研究其可靠性增长机理及其估计问题,可以更为有效地促进或加速产品的可靠性增长,提高产品可靠度。更为准确地预测可靠性增长情况并将其应用于产品保修期的优化设计,从而有效提升企业的经济效益和市场竞争力。为此,本文应用定性与定量相结合的方法,分析研究了硬件产品在其全生命周期的可靠性增长机理及其估计,并以典型的硬件产品—某型挂壁式空调为应用研究对象,提出了一种基于使用可靠性估计与聚类分析的硬件产品保修期优化设计方法。论文首先从系统工程理论的角度,对硬件产品生产制造系统的特性以及组成要素进行了分析,给出了影响硬件产品生命周期可靠性增长的基本因素。根据硬件研制阶段、试生产阶段、全面生产阶段以及相邻阶段间的生产制造特点,给出了对应的可靠性增长影响因素。为了掌握阶段内相关因素对产品可靠性增长的影响,利用SPSS统计分析软件进行了多元线性回归分析,定量描述了各阶段的显著性可靠性增长影响因素及其影响程度。对于阶段转换过程出现的产品可靠性阶跃变化,构建了基于突变理论的尖点突变模型,对导致突变的影响因素进行了详细分析,利用利用突变函数的归一化公式结合模糊隶属度函数对系统运行状态的总突变隶属度函数值的计算进行了描述,并以某硬件产品生产企业的四条生产系统为对象进行了应用研究。最后,论文提出了利用产品使用可靠性估计结果结合模糊C均值聚类法进行保修期制定的研究策略,以某型挂壁式空调为案例分析对象开展了应用研究。论文给出的基于多元线性回归以及突变理论的硬件产品生命周期阶段内及相邻阶段间可靠性增长机理的定性与定量研究成果,提出的基于使用可靠性水平与模糊C均值聚类的产品保修期制定方法,为进一步开展相关研究工作奠定了基础,对促进硬件产品生命周期内的可靠性增长并有效应用增长结果具有一定的理论和实际指导意义。
[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.
【学位授予单位】：南昌大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TB657.2;O213.2

【参考文献】