摘要
为弥补传统测试性推理方法通用性差的缺陷,研究了基于图论的通用测试性推理技术,构建了一种通用测试性推理模型。其中,图论内核抽象了框图模型、信息流模型、多信号流图模型、混合诊断模型、贝叶斯网络模型和AI-ESTATE中的信息元素,融合了Floyd-Warshall算法、FDI算法和高阶关联关系推理算法,为测试性推理的通用化、标准化和并行化提供了一种新的解决方案。结合某装备测控系统的信号形成组合进行了推理方法验证,证明了方法的有效性和先进性。
In order to make up the flaw of low universality of traditional testability inference methods,in the paper,a general purpose testability inference technology was given based on graph theory.A graph theory core was implemented to Abstract all testability information from frame model,information flow model,multi-signal flow model,hybrid diagnostic model,Bayesian model and artificial intelligence exchange and service related with all test environments（AI-ESTATE）,and melt general-purpose algorithms such as Floyd-Warshall algorithms,fault detection and isolation（FDI） algorithms and high order relation inference algorithms.It has provided a new solution to general-purpose,standard and concurrent testability inference for equipment.Graph theory based general-purpose testability inference technology is shown to be effective and advanced by the example of the testability inference for the certain equipment＇s signal generation unit.
出处
《弹箭与制导学报》
CSCD
北大核心
2011年第6期207-210,共4页
Journal of Projectiles,Rockets,Missiles and Guidance
