基于云模型的可靠性评估方法及软件开发
发布时间：2018-11-18 16:23
【摘要】：在卫星系统中，各种运行和测试数据是海量的，但是在大量的可靠性数据中可以被现有的概率可靠性评估方法所利用的数据非常稀缺。同时在大量的可靠性数据中模糊信息和区间信息等不确定类型的信息越来越多，这些都对已有的可靠性理论提出了挑战。为了综合应用多来源、多形式的可靠性数据，本文提出了基于云模型的可靠性评估方法。 本文分析了可靠性数据的来源和分类，研究了不同类型可靠性数据之间的一致性。在此基础上建立了基于云模型的可靠性指标体系，并提出了综合考虑三个云参数的可靠性指标——云置信下限，为可靠性的定量化比较提供了明确的依据。本文借鉴了概率可靠性理论、模糊可靠性理论以及区间可靠性理论，以云模型为基础建立了针对应力强度干涉失效模型的三类可靠性云的建立方法。同时本文建立三类可靠性云之间的相互融合以获得综合可靠性云方法。本文还根据典型系统的概率可靠性评估算法，，引入误差理论，建立了由部件到系统的串联和并联可靠性云传递算法。 将基于云模型的可靠性评估方法的评估流程标准化，根据模块化编程思想开发出基于云模型的可靠性评估软件，并通过测试用例对软件功能的有效性进行了测试和验证。
[Abstract]:In satellite systems, a variety of operational and test data are massive, but in a large number of reliability data can be used by the existing probabilistic reliability evaluation method data is very scarce. At the same time, there are more and more uncertain types of information such as fuzzy information and interval information in a large number of reliability data, which challenge the existing reliability theory. In order to apply multi-source and multi-form reliability data, a cloud model based reliability evaluation method is proposed in this paper. In this paper, the source and classification of reliability data are analyzed, and the consistency among different types of reliability data is studied. On this basis, the reliability index system based on cloud model is established, and the cloud confidence lower limit, which considers three cloud parameters synthetically, is put forward, which provides a clear basis for quantitative comparison of reliability. Based on the theory of probabilistic reliability, fuzzy reliability and interval reliability, three kinds of reliability cloud for stress intensity interference failure model are established in this paper. At the same time, this paper establishes the fusion of three kinds of reliability clouds to obtain a comprehensive reliability cloud method. Based on the probabilistic reliability evaluation algorithm of typical systems and the error theory, a series and parallel reliability cloud transfer algorithm from components to systems is established in this paper. The evaluation process of reliability evaluation method based on cloud model is standardized and the reliability evaluation software based on cloud model is developed according to modular programming idea. The validity of software function is tested and verified by test cases.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TB114.3;TP311.52
本文编号：2340527
[Abstract]:In satellite systems, a variety of operational and test data are massive, but in a large number of reliability data can be used by the existing probabilistic reliability evaluation method data is very scarce. At the same time, there are more and more uncertain types of information such as fuzzy information and interval information in a large number of reliability data, which challenge the existing reliability theory. In order to apply multi-source and multi-form reliability data, a cloud model based reliability evaluation method is proposed in this paper. In this paper, the source and classification of reliability data are analyzed, and the consistency among different types of reliability data is studied. On this basis, the reliability index system based on cloud model is established, and the cloud confidence lower limit, which considers three cloud parameters synthetically, is put forward, which provides a clear basis for quantitative comparison of reliability. Based on the theory of probabilistic reliability, fuzzy reliability and interval reliability, three kinds of reliability cloud for stress intensity interference failure model are established in this paper. At the same time, this paper establishes the fusion of three kinds of reliability clouds to obtain a comprehensive reliability cloud method. Based on the probabilistic reliability evaluation algorithm of typical systems and the error theory, a series and parallel reliability cloud transfer algorithm from components to systems is established in this paper. The evaluation process of reliability evaluation method based on cloud model is standardized and the reliability evaluation software based on cloud model is developed according to modular programming idea. The validity of software function is tested and verified by test cases.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TB114.3;TP311.52
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