提出了基于健康状态-广义测试相关性(health state-general test,简称HSGT)的健康状态评估技术。首先,根据维修要求将故障严重程度划分成多个离散的健康状态,再按测试输出属性,将测试划分为一系列区间值的广义测试,进而结合系统功能与...提出了基于健康状态-广义测试相关性(health state-general test,简称HSGT)的健康状态评估技术。首先,根据维修要求将故障严重程度划分成多个离散的健康状态,再按测试输出属性,将测试划分为一系列区间值的广义测试,进而结合系统功能与结构等信息,建立系统健康状态-广义测试相关性矩阵;其次,利用贝叶斯理论,建立基于HSGT的健康状态评估推理模型;最后,使用蒙特卡洛方法生成包含8个被测单元(unit under test,简称UUT)的系统,对所提技术的有效性及可行性进行了仿真验证。结果表明,提出的健康状态评估技术能根据系统测试输出结果,及时、准确地推理出系统中各个UUT的健康状态,评估结果能在故障加剧导致的功能失效前有效触发视情维修(condition based maintenance,简称CBM)的维修决策机制。展开更多
In order to analyze the capacity stability of the time-varying-propagation and delay-dependent of mobile ad-hoc networks （MANETs）, in this paper, a novel approach is proposed to explore the capacity asymptotic stabi...In order to analyze the capacity stability of the time-varying-propagation and delay-dependent of mobile ad-hoc networks （MANETs）, in this paper, a novel approach is proposed to explore the capacity asymptotic stability for the delay- dependent of MANETs based on non-cooperative game theory, where the delay-dependent conditions are explicitly taken into consideration. This approach is based on the Lyapunov-Krasovskii stability theory for functional differential equations and the linear matrix inequality （LMI） technique. A corresponding Lyapunov-Krasovskii functional is introduced for the stability analysis of this system with use of the descriptor and ＂neutral-type＂ model transformation without producing any additional dynamics. The delay-dependent stability criteria are derived for this system. Conditions are given in terms of linear matrix inequalities, and for the first time referred to neutral systems with the time-varying propagation and delay- dependent stability for capacity analysis of MANETs. The proposed criteria are less conservative since they are based on an equivalent model transformation. Furthermore, we also provide an effective and efficient iterative algorithm to solve the constrained stability control model. Simulation experiments have verified the effectiveness and efficiency of our algorithm.展开更多
文摘提出了基于健康状态-广义测试相关性(health state-general test,简称HSGT)的健康状态评估技术。首先,根据维修要求将故障严重程度划分成多个离散的健康状态,再按测试输出属性,将测试划分为一系列区间值的广义测试,进而结合系统功能与结构等信息,建立系统健康状态-广义测试相关性矩阵;其次,利用贝叶斯理论,建立基于HSGT的健康状态评估推理模型;最后,使用蒙特卡洛方法生成包含8个被测单元(unit under test,简称UUT)的系统,对所提技术的有效性及可行性进行了仿真验证。结果表明,提出的健康状态评估技术能根据系统测试输出结果,及时、准确地推理出系统中各个UUT的健康状态,评估结果能在故障加剧导致的功能失效前有效触发视情维修(condition based maintenance,简称CBM)的维修决策机制。
基金supported by the National Natural Science Foundation of China(Grant No.61173131)the Fundamental Research Funds for the Interdisciplinary ClassMajor Projects for the Central Universities of Ministry of Education of China(Grant No.CDJZR12098801)+3 种基金the Based and Advanced Research Projects ofChongqing of China(Grant No.cstc2013jcyjA40033)the Key Strategic Project of Chongqing of China(Grant No.CSTC2009AB2230)the Strategeic Projectof Chongqing of China(Grant No.2009AC2057)the Special Funding for Scientific Research Project of Chongqing Postdoctoral Researchers,China(Grant No.XM20120054)
文摘In order to analyze the capacity stability of the time-varying-propagation and delay-dependent of mobile ad-hoc networks （MANETs）, in this paper, a novel approach is proposed to explore the capacity asymptotic stability for the delay- dependent of MANETs based on non-cooperative game theory, where the delay-dependent conditions are explicitly taken into consideration. This approach is based on the Lyapunov-Krasovskii stability theory for functional differential equations and the linear matrix inequality （LMI） technique. A corresponding Lyapunov-Krasovskii functional is introduced for the stability analysis of this system with use of the descriptor and ＂neutral-type＂ model transformation without producing any additional dynamics. The delay-dependent stability criteria are derived for this system. Conditions are given in terms of linear matrix inequalities, and for the first time referred to neutral systems with the time-varying propagation and delay- dependent stability for capacity analysis of MANETs. The proposed criteria are less conservative since they are based on an equivalent model transformation. Furthermore, we also provide an effective and efficient iterative algorithm to solve the constrained stability control model. Simulation experiments have verified the effectiveness and efficiency of our algorithm.
