Based on the moment estimation of limit state function for calculation of failure probability, a new reliability sensitivity analysis method is presented.
基于极限状态函数矩估计的失效概率计算，提出一种新的可靠性灵敏度分析方法。
For the problem of loss of target signal during target tracking in passive seeker, a new method is presented for anti-loss of target signal based on target state estimation.
围绕被动导引头跟踪过程中目标辐射源信号丢失的问题，提出一种基于目标状态估计的抗目标信号丢失方法。
This paper deals with the optimal state estimation problem for the discrete stochastic system based on the innovation theory and projection method.
基于射影理论及新息分析方法，讨论离散随机线性系统最优状态估计问题。
This dissertation analyses the estimation of steady state frequency method based on the calculating of real-time dynamic power flow.
本文分析了基于实时动态潮流计算的预测电力系统的稳态频率的方法。
Based on the branch-current-based current method, this paper presented a three-phase state estimation method for Distribution where the load current is considered as the state variable.
在基于支路电流的三相配电网状态估计的基础上提出了以负荷电流为状态变量的配电网的三相状态估计方法。
Based on this, it is presented to a new method on bad data of distribution systems monitored and modified and a distribution state estimation based on matching power flow.
由此提出了一种新的配电系统不良数据检测及校正的方法，并给出了一种基于配电网匹配潮流状态估计方法。
The Predictive Filter is an estimation method based on nonlinear system model, which determines the optimal model error using a one-step ahead control approach to provide accurate state estimations.
预测滤波器是一种基于非线性系统模型的滤波方法，它通过使输出一步前向预测误差最小来估计模型误差，具有较高的估计精度。
Based on the theory of strong tracking filters, an online fault diagnosis method for transformers is given by combining state estimation and parameter identification.
基于强跟踪滤波理论，本文给出了一种变压器绕组故障实时检测与诊断的理论方法。
Finally, based on the real-time characteristics of WAMS, a partly tracing state estimation method with WAMS increment is proposed.
最后针对WAMS的实时性特点，提出了基于WAMS增量的局部追踪状态估计方法。
Based on the results of target state estimation error analyzing of this algorithm, this paper gives out an error compensation method.
根据对该算法的目标状态估计误差分析结果，文中给出了一种误差补偿方法。
A three phase distribution system state estimation algorithm is proposed in this paper which based on Newton method.
提出了一种基于牛顿法的三相配网状态估计算法。
The results show that the state estimation method based on improved particle swarm algorithm can be the best value, but a longer time, and the bad data can be detected by J(x) detection method.
结果表明基于改进粒子群算法的状态估计可以得到最优值，但时间较长，检测法可以检测出不良数据。
In order to solve the divergence phenomenon which produced by the common state estimation methods, a state estimation method based on improved particle swarm algorithm was proposed.
为了解决常用的状态估计方法常易出现的发散现象，提出了基于改进粒子群算法的状态估计。
Effectivity test shows that, using two-stage estimation method and method based on steady-state weights can get effective core inflation measurements.
有效性检验表明，根据两阶段估计方法和基于稳态权重的估计方法得到的核心通货膨胀都是有效的核心通货膨胀度量。
Effectivity test shows that, using two-stage estimation method and method based on steady-state weights can get effective core inflation measurements.
有效性检验表明，根据两阶段估计方法和基于稳态权重的估计方法得到的核心通货膨胀都是有效的核心通货膨胀度量。
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