节点文献
基于MM*模型下悲观诊断系统的高效故障诊断
Efficient Fault Identification of Pessimistic Diagnosable Systems under MM* Model
【摘要】 在系统故障诊断中,悲观诊断与精确诊断相比,前者可以显著提高系统的自诊断能力。而当前对于t1/t1-可诊断系统却没有很好的基于MM*模型的悲观诊断算法。因此,本文在MM*模型下,研究了t1/t1-可诊断系统的诊断算法,并提出了一个时间复杂度为O(N2.5)的悲观诊断算法,Ⅳ代表处理器节点总数。在时间复杂度方面,这是一个比较高效的诊断算法。
【Abstract】 In comparison with precise diagnosis,pessimistic diagnosis can enhance the self-diagnosing capability of a system.So far,there isn’t efficient pessimistic diagnosis algorithm for t1/t1-diagnosable system under MM * model.So,in this paper,the fault diagnosis of t1/t1-diagnosable system is addressed under the MM * model,proposing an 0(N2.5) algorithm for pessimistic diagnosis of t1/t1-diagnosable system,where N denote the total number of the processors.In terms of time complexity,the presented algorithm is efficient.
【关键词】 多计算机系统;
系统级故障诊断;
MM*模型;
悲观模型;
诊断算法;
【Key words】 mutil-computer; system-level diagnosis; MM * model; pessimistic diagnosis model; diagnosis algorithm;
【Key words】 mutil-computer; system-level diagnosis; MM * model; pessimistic diagnosis model; diagnosis algorithm;
- 【文献出处】 世界科技研究与发展 ,World Sci-Tech R & D , 编辑部邮箱 ,2013年02期
- 【分类号】TP307
- 【被引频次】1
- 【下载频次】32