Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Predicting microseismic, acoustic emission and electromagnetic radiation data using neural networks
Microseism, acoustic emission and electromagnetic radiation (M-A-E) data are usually used for predicting rockburst hazards. However, it is a great challenge to realize the prediction of M-A-E data. In this study, with the aid of a deep learning algorithm, a new method for the prediction of M-A-E data is proposed. In this method, an M-A-E data prediction model is built based on a variety of neural networks after analyzing numerous M-A-E data, and then the M-A-E data can be predicted. The predicted results are highly correlated with the real data collected in the field. Through field verification, the deep learning-based prediction method of M-A-E data provides quantitative prediction data for rockburst monitoring.
Predicting microseismic, acoustic emission and electromagnetic radiation data using neural networks
Microseism, acoustic emission and electromagnetic radiation (M-A-E) data are usually used for predicting rockburst hazards. However, it is a great challenge to realize the prediction of M-A-E data. In this study, with the aid of a deep learning algorithm, a new method for the prediction of M-A-E data is proposed. In this method, an M-A-E data prediction model is built based on a variety of neural networks after analyzing numerous M-A-E data, and then the M-A-E data can be predicted. The predicted results are highly correlated with the real data collected in the field. Through field verification, the deep learning-based prediction method of M-A-E data provides quantitative prediction data for rockburst monitoring.
Predicting microseismic, acoustic emission and electromagnetic radiation data using neural networks
Yangyang Di (Autor:in) / Enyuan Wang (Autor:in) / Zhonghui Li (Autor:in) / Xiaofei Liu (Autor:in) / Tao Huang (Autor:in) / Jiajie Yao (Autor:in)
2024
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Metadata by DOAJ is licensed under CC BY-SA 1.0
Acoustic Emission Monitoring during Microseismic Activity Caused by Mine Subsidence
| British Library Online Contents | 1992
Rock Burst Monitoring by Integrated Microseismic and Electromagnetic Radiation Methods
| Online Contents | 2016
Rock Burst Monitoring by Integrated Microseismic and Electromagnetic Radiation Methods
| British Library Online Contents | 2016
Rock Burst Monitoring by Integrated Microseismic and Electromagnetic Radiation Methods
| Online Contents | 2016