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Decay Ratio Estimation of BWR Signals Based on Wavelet Ridges

机译:基于小波脊的BWR信号衰减率估计

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A wavelet ridge application is proposed as a simple method to determine the evolution of the linear stability parameters of a boiling water reactor nuclear power plant (NPP) using neutronic noise signals. The wavelet ridges are used to track the instantaneous frequencies contained in a signal and to estimate the decay ratio (DR). The first step of the method consists of denoising the analyzed signals by a discrete wavelet transform to reduce the interference of high-frequency noise and concentrate the analysis in the band where crucial frequencies are presented. Next is computation of the wavelet ridges by a continuous wavelet transform to obtain the modulus maxima from the normalized scalogram of the signal. In general, associations with these wavelet ridges can be used to compute the instantaneous frequency contained in the signal and the DR evolution with the measurement. To study the performance of the wavelet ridge method, by computing the evolution of the linear stability parameters, both simulated and real neutronic signals were considered. The simulated signal is used to validate methodically and to study some features of the wavelet ridge method. To demonstrate the method applicability, three real neutronic signals related to instability events in the Laguna Verde NPP and Ringhals and Forsmark stability benchmarks were analyzed. The investigations show that most of the local energies of the signal are concentrated and that DR variations of the signals were observed along the measurements.
机译:提出了一种小波脊应用作为使用中子噪声信号确定沸水反应堆核电站(NPP)线性稳定性参数演变的简单方法。小波脊用于跟踪信号中包含的瞬时频率并估计衰减比(DR)。该方法的第一步是通过离散小波变换对分析的信号进行去噪,以减少高频噪声的干扰,并将分析集中在呈现关键频率的频带中。接下来是通过连续的小波变换来计算小波脊,以从信号的归一化比例尺图获得模量最大值。通常,与这些小波脊的关联可用于计算信号中包含的瞬时频率以及测量的DR演化。为了研究小波脊线方法的性能,通过计算线性稳定性参数的演变,同时考虑了模拟信号和实际中子信号。仿真信号用于系统地验证和研究小波脊线方法的一些特征。为了证明该方法的适用性,分析了与Laguna Verde NPP和Ringhals和Forsmark稳定性基准中的不稳定性事件相关的三个真实中子信号。研究表明,信号的大多数局部能量都集中了,并且在测量过程中观察到了信号的DR变化。

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