FDNet: Knowledge and Data Fusion-Driven Deep Neural Network for Coal Burst Prediction

Coal burst prediction is an important research hotspot in coal mine production safety. This paper presents FDNet, which is a knowledge and data fusion-driven deep neural network for coal burst prediction. The main idea of FDNet is to extract explicit features based on the existing mine seismic physi...

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Auteurs principaux: Anye Cao, Yaoqi Liu, Xu Yang, Sen Li, Yapeng Liu
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2022-04-01
Collection:Sensors
Sujets:
coal burst
coal mine safety
fusion-driven
deep neural network
Accès en ligne:https://www.mdpi.com/1424-8220/22/8/3088
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