为处理好变电站故障诊断问题中故障源和故障征兆间因果关系的不确定性,提出了基于故障群组合优化的故障诊断方法。依据变电站运行方式和保护配置建立保护配合的 Petri 网模型,用该模型的状态转移方程获取所有的故障群-征兆群对子,创建...为处理好变电站故障诊断问题中故障源和故障征兆间因果关系的不确定性,提出了基于故障群组合优化的故障诊断方法。依据变电站运行方式和保护配置建立保护配合的 Petri 网模型,用该模型的状态转移方程获取所有的故障群-征兆群对子,创建故障群组合作为已知故障征兆诊断解的适应度函数,并用遗传算法搜索出最优诊断解。实验证明:该方法不仅能有效地辨识出故障源,而且能提供保护装置拒动、断路器拒动、信号传输错误等信息,对现场人员迅速确认故障设备非常有利。展开更多
M G 1排队模型在理论和应用方面已得到了许多有意义的结果,对负顾客的研究可从不同的角度、不同的方法、不同的机制来进行 作者首次把负顾客和可修系统作了结合,研究了一类负顾客的M G 1可修排队系统 服务规则是先到先服务,负顾客抵消...M G 1排队模型在理论和应用方面已得到了许多有意义的结果,对负顾客的研究可从不同的角度、不同的方法、不同的机制来进行 作者首次把负顾客和可修系统作了结合,研究了一类负顾客的M G 1可修排队系统 服务规则是先到先服务,负顾客抵消正顾客 使用经典方法"补充变量法"和状态转移方程分析该模型,得到了这一模型的排队指标和可靠性指标。展开更多
Aiming at the effective realization of particle filter for maneuvering target tracking in multi-sensor measurements,a novel multi-sensor multiple model particle filtering algorithm with correlated noises is proposed.C...Aiming at the effective realization of particle filter for maneuvering target tracking in multi-sensor measurements,a novel multi-sensor multiple model particle filtering algorithm with correlated noises is proposed.Combined with the kinetic evolution equation of target state,a multi-sensor multiple model particle filter is firstly constructed,which is also used as the basic framework of a new algorithm.In the new algorithm,in order to weaken the adverse influence from random measurement noises in the measuring process of particle weight,a weight optimization strategy is introduced to improve the reliability and stability of particle weight.In addition,considering the correlated noise existing in the practical engineering,a decoupling method of correlated noise is given by the rearrangement and transformation of the state transition equation and measurement equation.Since the weight optimization strategy and noise decoupling method adopt respectively the center fusion structure and the off-hne way,it improves the adverse effect effectively on computational complexity for increasing state dimension and sensor number.Finally,the theoretical analysis and experimental results show the feasibility and efficiency of the proposed algorithm.展开更多
文摘为处理好变电站故障诊断问题中故障源和故障征兆间因果关系的不确定性,提出了基于故障群组合优化的故障诊断方法。依据变电站运行方式和保护配置建立保护配合的 Petri 网模型,用该模型的状态转移方程获取所有的故障群-征兆群对子,创建故障群组合作为已知故障征兆诊断解的适应度函数,并用遗传算法搜索出最优诊断解。实验证明:该方法不仅能有效地辨识出故障源,而且能提供保护装置拒动、断路器拒动、信号传输错误等信息,对现场人员迅速确认故障设备非常有利。
文摘M G 1排队模型在理论和应用方面已得到了许多有意义的结果,对负顾客的研究可从不同的角度、不同的方法、不同的机制来进行 作者首次把负顾客和可修系统作了结合,研究了一类负顾客的M G 1可修排队系统 服务规则是先到先服务,负顾客抵消正顾客 使用经典方法"补充变量法"和状态转移方程分析该模型,得到了这一模型的排队指标和可靠性指标。
基金Supported by the National Natural Science Foundation of China(No.61300214)the National Natural Science Foundation of Henan Province(No.132300410148)+1 种基金the Post-doctoral Science Foundation of China(No.2014M551999)the Funding Scheme of Young Key Teacher ofHenan Province Universities(No.2013GGJS-026)
文摘Aiming at the effective realization of particle filter for maneuvering target tracking in multi-sensor measurements,a novel multi-sensor multiple model particle filtering algorithm with correlated noises is proposed.Combined with the kinetic evolution equation of target state,a multi-sensor multiple model particle filter is firstly constructed,which is also used as the basic framework of a new algorithm.In the new algorithm,in order to weaken the adverse influence from random measurement noises in the measuring process of particle weight,a weight optimization strategy is introduced to improve the reliability and stability of particle weight.In addition,considering the correlated noise existing in the practical engineering,a decoupling method of correlated noise is given by the rearrangement and transformation of the state transition equation and measurement equation.Since the weight optimization strategy and noise decoupling method adopt respectively the center fusion structure and the off-hne way,it improves the adverse effect effectively on computational complexity for increasing state dimension and sensor number.Finally,the theoretical analysis and experimental results show the feasibility and efficiency of the proposed algorithm.
