A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
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 (author) / Enyuan Wang (author) / Zhonghui Li (author) / Xiaofei Liu (author) / Tao Huang (author) / Jiajie Yao (author)
2024
Article (Journal)
Electronic Resource
Unknown
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
| Online Contents | 2016
Rock Burst Monitoring by Integrated Microseismic and Electromagnetic Radiation Methods
| British Library Online Contents | 2016