Identification of anomaly noise fluctuations in pressurized-water reactor using autoregressive models

Noise analysis of reactor random fluctuations was shown to be an effective method for early diagnosis of abnormal reactor operation conditions. The reactor noise model can be considered as a system composed of several interacting subsystems. The properties of the autoregressive model and modal transformation of autoregressive model coefficients are very useful in the physical interpretation of the noise signal, and detection and identification of the abnormal state. (author). 1 fig., 2 tabs., 7 refs