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.