Cargando…
A Novel ABRM Model for Predicting Coal Moisture Content
Coal moisture content monitoring plays an important role in carbon reduction and clean energy decisions of coal transportation-storage aspects. Traditional coal moisture content detection mechanisms rely heavily on detection equipment, which can be expensive or difficult to deploy under field condit...
Autores principales: | Zhang, Fan, Li, Hao, Xu, ZhiChao, Chen, Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8811735/ https://www.ncbi.nlm.nih.gov/pubmed/35132295 http://dx.doi.org/10.1007/s10846-021-01552-6 |
Ejemplares similares
-
From data to interpretable models: machine learning for soil moisture forecasting
por: Basak, Aniruddha, et al.
Publicado: (2022) -
Effect of moisture on microwave ignition of bituminous coal
por: Yao, Junhui, et al.
Publicado: (2023) -
The occurrence state of moisture in coal and its influence model on pore seepage
por: Zhao, Yuan, et al.
Publicado: (2018) -
Experimental study on freeze–thaw damage characteristics of coal samples of different moisture contents in liquid nitrogen
por: Wang, Xiaoqi, et al.
Publicado: (2022) -
Effect of Moisture on Methane Adsorption Characteristics
of Long-Flame Coal
por: Chen, Xiangjun, et al.
Publicado: (2022)