线性AR和ARMA过程在电力设备诊断系统信息信号仿真中的应用

V. Zvaritch, E. Glazkova
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引用次数: 5

摘要

提出了一种可以用线性随机过程进行数学描述的信息信号统计模拟的新方法。本文介绍了线性随机过程理论和建模过程分类的一些知识,讨论了在给定被模拟过程的平均谱和跳谱的情况下求解模拟问题的方法。以线性自回归过程的仿真为例,说明了该方法的应用。
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Application of linear AR and ARMA processes for simulation of power equipment diagnostic systems information signals
A new approach to statistical simulation of the information signals that can be described mathematically by linear stochastic processes is presented. The paper contains some knowledge of the Linear Stochastic Process Theory, a modelling processes classification, and discusses a method of simulation problems solving in the case when the mean and jumps spectrum of the process being simulated is given. The simulation of linear autoregressive processes is considered as an example of the proposed method usage.
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