Study on Denoising Microseismic Signal Based on Autoencoder Convolutional Neural Networks
https://doi.org/10.58531/ijge10310001
Abstract:
As a kind of dynamic real-time monitoring technology, microseismic monitoring technology has been widely used for rockburst warning. Due to the complexity of the actual monitoring environment, the monitoring signals often contain different types of noise, affecting the earning warning of rockburst. In this study, an Autoencoder Convolutional Neural Network denoising mode... Read more.