Wavelet Radar Signal Processing and its Applications to Industrial Roller Rotation Monitoring
摘要
In this article, attention is paid to the task of remote monitoring of the state of an industrial roller using radar. A millimeter-wave radar using an FMCW signal is used to assess the state of the roller rotation quality. A test bench has been developed and a dataset of test signals has been recorded. An approach to the analysis of recorded signals using digital processing based on Morlet wavelet and a deep learning neural network is proposed.