Multivariate signal analysis for process noise source identification

Work is described which uses a method for the identification of noise sources - the multivariate auto regressive process. Analyses were performed using simulated noise and operating nuclear power plant process noise. The simulated noise signals are generated mathematically in the same way as the system structure identified by the AR-method. The analysis of the simulated noise shows the possibility of the method to identify a simulated stochastic system and to clarify the influence of the different noise sources. Auto power spectrum of nuclear power plant signals calculated by the AR-method are in good agreement with FFT (Fast Fourier Transform) calculations. The contributions to the noise from the different sources calculated by the AR-program are in agreement with expected characteristics from physical considerations. (U.K.)