Prediction of spontaneous heating susceptibility of Indian coals using fuzzy logic and artificial neural network models

A CFD Modeling Method of Realistic Parameters for Predicting Easily Coal Spontaneous Combustion Zone Accurately in the Gob of Long wall Face

“…Numerical simulation provides a possibility to understand the spontaneous combustion zone due to its economic and convenient. A lot of modeling studies have been performed to investigate the spontaneous heating tendencies of coal in the gob, some models are very complicated [8,9]. Those help us understand the processes of coal spontaneous combustion comprehensively.…”

Review of experimental methods to determine spontaneous combustion susceptibility of coal – Indian context

“…S. Nimaje, Tripathy, & Nanda, 2013; D. C. Panigrahi & Sahu, 2004; D. C. Panigrahi, Saxena, V. K, Udaybhanu, G, , 2000; S. W. Parr & Coons, 1925;Sahu, Padhee, & Mahapatra, 2011;; Calorimetric studies -adiabatic calorimetric (SHT -USA, R70 -Australia), isothermal calorimetric (B. Basil Beamish, Barakat, & George, 2000;B.…”

Adaptive Neuro-Fuzzy Inference System Prediction of Calorific Value Based on the Analysis of U.S. Coals

“…Artificial Neural Networks -Industrial and Control Engineering Applications 170 1991; Chen et al, 1991;Wasserman, 1993;Chehreh Chelgani et al, 2008;Hansen and Meservy, 1996;Patel et al, 2007;Mesroghli et al, 2009;Bagherieh et al, 2008;Jorjani et al, 2008;Chehreh Chelgani et al, 2010;Khandelwal and Singh, 2010 ;Sahu et al, 2010;Yao et al, 2005;Patel et al, 2007;Salehfar and Benson, 1998;Wu et al, 2008;Karacan, 2007). Patel et al (2007) predicted the GCV of coal utilizing 79 sets of data using neural network analyses based on proximate analysis, ultimate analysis, and the density of helium.…”