Open AccessArticle
Study on Denoising Microseismic Signal Based on Autoencoder Convolutional Neural Networks
Shibin Tang , Fusheng Liu , Chun Zhu , Ximao Chen , Xingzhao Wang , Zhengzheng Wang , Leyu Chao , Yan Su , Li Zhao , Jiaming Li , Shun Ding , Muhuo Lai
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.