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- Based on the theory of strong tracking filters(STF), an online fault diagnosis method for transformers is given by combining state estimate and parameter identification. 基于多传感器强跟踪滤波器理论,给出了一种变压器绕组故障实时检测与诊断的方法。
- Based on KCL this article puts forward a new solution for measurement processing in state estimate,bad data check and identification and auxiliary bus replacement of electric power systems. 依据基尔霍夫电流定律(KCL),通过模拟人的思维推理过程,提出了一种状态估计量测创建与回分、坏数据检测和辨识、自动旁母替代的新方案。
- The technology of multisensor data fusion uses many sensors to detect targets and obtain the information which from many respects, and it can get better state estimate values than single target. 多传感器数据融合技术是利用多传感器探测目标以获取多方面信息,得到比单一传感器更准确的目标状态估计。
- Abstract: A new three-phase state estimation algorithm is proposed and its details are presented in this paper. 文摘:提出了一种新的三相状态估计算法,并详细地阐述了一种三相状态估计的处理策略。
- The optimality of two-stage state estimation in the presence of ARMA model random bias is studied. 考虑了具有ARMA模型随机偏差的两段卡尔曼估值器的最优条件问题。
- Abstract: This paper presents an algorithm for dynamic state estimation of power systems. 摘要:本文介绍了一种电力系统动态状态估计的算法。
- A fault diagnosis method based on state estimator for a class of nonlinear systems is proposed. 针对一类含有建模误差的非线性系统;研究了基于状态估计的智能故障诊断方法.
- The real-time monitoring to the power network can be realized with the linear state estimation of voltage phasor. 由于对电网电压相量的状态估计是线性的,因此能实时实现对电网的监视。
- Linear measurement equation and linear static state estimation algorithm based right-angle coordinate are proposed when only PMU measurements are used. 在完全使用相量量测的情况下,提出了基于直角坐标系的实数形式的电力系统线性量测方程,和相应的线性静态状态估计算法。
- By calculating a power system model,the state estimation and feedback law with decentralized structure,linear and finite dimension are obtained. 对电力系统的一个模型进行了计算,得到了分散结构的、线性的、有限维的状态估计和反馈律。
- The application of dynamic BP network and RBF network to the state estimation of process of erythromycin fermentation was studied. 探索了动态BP网络和RBF网络在红霉素发酵过程状态预估中的应用,比较了它们的收敛速度和学习能力。
- H.S.Zhang, L.H.Xie , Y.C.Soh and W.Wang, `` Risk-Sensitive State Estimation for Sngular Systems.” IFAC 15th World Congress, Spain. 2002. 张焕水,邓自立;广义离散随机系统自校正最优预报方法;自动化学报;第22卷;第1期;1996年.
- And it offers a new thought of analyzing and studying dynamic linear network, computing continuous power flow and dynamic state estimation. 这为分析和研究动态线性网络、计算连续潮流和动态状态估计提供了一种新的思路。
- A new observability analysis algorithm for power system state estimation based on reduced network Jacobian matrix is proposed. 提出了一种新的基于降阶网络雅可比矩阵的电力系统状态估计可观测性分析方法。
- Power system state estimation is the core of electric energy management system and the bases of dispatch, control, security evaluation and so on. 电力系统状态估计是电力系统调度、控制、安全评估等方面的基础,也是电能管理系统的核心组成部分。
- AutoFilter is a program synthesis tool for the automatic generation of state estimation code from compact specifications. AutoFilter合成工具自动生成状态估计代码紧凑specifications.
- Kalman filter is a linear minimum variance state estimator, and it combined array antenna and multiuser detection effectively. 卡尔曼滤波是一种线性最小方差状态估计,把它有效地结合阵列天线与多用户检测。
- Economically, the country is in a very healthy state. 从经济学的观点来说,国家处于很兴旺的状态之中。
- In this paper, based on output residuals, an efficient adaptive state estimation approach is presented for linear time-invariant discrete system. 本文针对线性定常离散系统提出了一种有效的基于输出残差的自适应状态估计方法。
- The simulation re-sups show that the proposed method can nreatly improve the state estimation precision of sensor array passive trackinn system. 在很多方面的应用已经逐渐有替代广义卡尔曼滤波的趋势。