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Base de datos CISDOC

ID (ISN) del documento112057
Número CIS 11-0706
ISSN - Título de la serie 0925-7535 - Safety Science
Año 2011
Número de serie
Autor(es) Cheng J., Yang S.
Título Data mining applications in evaluating mine ventilation system
Información bibliográfica 2011, 5p. Illus. 15 ref.
Acceso Internet Data_mining_applications.pdf [en inglés]
Resumen Ventilation systems are an important component of underground mines. They provide a sufficient quantity of air to maintain suitable working environment. Based on former findings and in-depth analysis of mine ventilation systems, this article proposes an early warning model to improve the mine ventilation safety. The model itself is comprised of two sub-models, and two data mining techniques are used to assist in building each sub-model. One is the optimal indexes selection model which applies the Rough Set theory (RS) to assist the selection of best ventilation indexes. The other is the risk evaluation model based on the Support Vector Machine (SVM) to classify the risk ranks for the mine ventilation system. Testing cases are used to demonstrate the applicability of this integrated model.
Descriptores (primarios) explotación minera en el fondo; valoración del riesgo; sistemas de ventilación; sistemas de alarma; mineria del carbón
Descriptores (secundarios) modelos matemáticos; fiabilidad; descripción del procedimiento
Tipo de documento D - Artículos periódicos
Tema(s) Minas y canteras
Organización de la seguridad, formación, educación
Broad subject area(s) Riesgos mecánicos, transporte
Navegación por categoria(s) Ventilation
Risk evaluation
Mining and quarrying