Response Time Measurement of Resistance Temperature Detector in Nuclear Power Plants Based on Noise Analysis

In order to realize stable and reliable online measurement of sensor response time, the Burg algorithm is used to analyze the sensor noise signal and solve the autoregressive model, which realizes the estimation of the parameters of the sensor transfer function model. And the model step response is obtained by the inverse Laplace transform method to calculate the model response time. In addition, for the superposition of Gaussian noise and low-frequency trend components in the actual engineering data, the wavelet decomposition method is used to decompose the actual signal into high-frequency components and low-frequency approximate components, and the low-frequency components are removed to obtain the effective noise signal, and then the response time is obtained using Burg method. Through Matlab simulation and engineering data analysis, it is concluded that the adopted method can obtain more accurate response time analysis results, and the analysis results of the engineering data are basically consistent with the technical specifications of the sensor.