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装备系统BIT权衡分析与选择技术研究 被引量:16

Research on the technologies of BIT tradeoff and selection for equipment system
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摘要 根据不同的系统结构特性及测试任务需求,机内测试(BIT)存在多种分类方法。首先通过BIT工作流程分析明确了不同类型BIT之间的关系。然后,针对两种典型的系统级BIT分类方法——BIT运行模式与实现方式的权衡与选择方法进行了系统地研究。对于前者,在系统故障特性分析与BIT测试性指标要求基础上,结合问题特点设计合理的染色体编码方式和适应度函数,并利用遗传算法对BIT运行模式进行权衡与选择;对于后者,通过分析BIT对系统综合保障水平的影响,分别给出相应的定量计算方法,建立基于改进超效率DEA的BIT实现方式权衡与选择计算模型。最后通过案例验证本文所提出方法的可行性和有效性。通过上述分析过程,可以为装备系统BIT详细设计与应用奠定基础。 There are many kinds of BIT ( Built-in Test) taxonomies according to different system structures and test requirements. The relationships among various BIT types are clarified via analyzing the BIT work flow of the equipment. Then, two tradeoff and selection methods of typical system-level BIT taxonomies, i.e. the BIT operation mode and BIT realization way, are studied systematically. For the former one, a rational chromosome encoding strategy is presented and a fitness function is designed in view of the characteristic of the problem, and then GA ( Genetic Algo- rithm) is applied to carry out BIT operation mode tradeoff and selection based upon the analysis of system failure characteristics and the BIT testability requirements. For the latter, through analyzing the influences of BIT on system integrated logistics support, the quantificational computation methods are proposed respectively, and the tradeoff and selection calculation model for BIT realization ways is founded based on the improved super-efficiency DEA (Data Envelopment Analysis). Practical examples show that the proposed method is feasible and effective, which lays a foundation for the detailed design and application of system BIT.
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2011年第9期2079-2086,共8页 Chinese Journal of Scientific Instrument
基金 国家"十一五"部委预研项目
关键词 测试性设计 系统级BIT 遗传算法 数据包络分析 design for testability system BIT genetic algorithm data envelopment analysis
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