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Geotechnical and Geological Engineering

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01.04.2013 | Original paper

Forecasting Spontaneous Heating Susceptibility of Indian Coals Using Neuro Fuzzy System

verfasst von: H. B. Sahu, S. S. Mahapatra

Erschienen in: Geotechnical and Geological Engineering | Ausgabe 2/2013

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Abstract

Coal mine fires due to spontaneous heating have been a great concern both for the industry and researchers worldwide. They start in a very small scale and gradually expand in size resulting in environmental, safety and economic concerns. Most of these fires could be averted if suitable preventive measures are taken. Since the spontaneous heating potential of all types of coals are not the same, its accurate forecasting is essential to plan efficient preventive measures, production schedule and storage capabilities of a mine. This study presents a neuro-fuzzy approach for forecasting the auto-oxidation of coals based on laboratory test results on fifty cone coal samples collected from different coalfields of India. Using the constituents of proximate analysis as input parameters, crossing point temperature (CPT) is predicted using adaptive neuro-fuzzy inference system (ANFIS) model. Gaussian membership function has been adopted for describing the input variables. The results indicate that ANFIS model can predict CPT values with reasonable accuracy.

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Titel: Forecasting Spontaneous Heating Susceptibility of Indian Coals Using Neuro Fuzzy System
verfasst von: H. B. Sahu
S. S. Mahapatra
Publikationsdatum: 01.04.2013
Verlag: Springer Netherlands
Erschienen in: Geotechnical and Geological Engineering / Ausgabe 2/2013
Print ISSN: 0960-3182
Elektronische ISSN: 1573-1529
DOI: https://doi.org/10.1007/s10706-013-9618-6

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