...
首页> 外文期刊>IEEE Transactions on Automatic Control >An Optimized Algorithm of General Distributed Diagnosability Analysis for Modular Structures
【24h】

An Optimized Algorithm of General Distributed Diagnosability Analysis for Modular Structures

机译:模块化结构通用分布式可诊断性分析的优化算法

获取原文
获取原文并翻译 | 示例
           

摘要

Diagnosability is an important property that determines at the design stage how accurate any diagnosis algorithm can be on a partially observable system and thus has significant economic impact on the improvement of performance and reliability of complex systems. Very recently distributed approaches for diagnosability began to be investigated since centralized approaches are not realistic for large systems due to the combinatorial explosion of the search space. In this paper, we propose a new optimized algorithm for pattern diagnosability analysis of distributed systems with modular structure, where we obtain the original pattern diagnosability information from the relative components before abstracting the sufficient and necessary information to be propagated to other connected components. Then, the diagnosability decision can be made after global consistency checking at the proper level of the subsystem involved. Our experimental results and complexity analysis illustrate the correctness and efficiency of our approach both in a practical and theoretical way. Finally, we distinguish our work by presenting related works before the conclusion.
机译:可诊断性是一个重要属性,它决定了在设计阶段在部分可观察的系统上任何诊断算法的精确度,从而对改善复杂系统的性能和可靠性产生重大的经济影响。由于集中式方法由于搜索空间的组合爆炸而不适用于大型系统,因此最近开始研究可诊断性的分布式方法。在本文中,我们提出了一种新的优化算法,用于模块化结构的分布式系统的模式可诊断性分析,该算法在提取足够的和必要的信息以传播到其他连接的组件之前,先从相关组件中获取原始的模式可诊断性信息。然后,可以在所涉及子系统的适当级别上对全局一致性进行检查之后,做出可诊断性决策。我们的实验结果和复杂性分析以实用和理论的方式说明了我们方法的正确性和有效性。最后,我们通过在结论之前介绍相关作品来区分我们的工作。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号