Fuel Classification based on Flame Characteristics using a Time Series Analysis with Fuzzy Support Vector Machine Algorithm

[1]  Tao Yu,et al.  A new generation of AI: A review and perspective on machine learning technologies applied to smart energy and electric power systems , 2019, International Journal of Energy Research.

[2]  Chih-Ju G. Jou,et al.  Improving furnace and boiler cost-effectiveness and CO2 emission by adjusting excess air , 2012 .

[3]  Fengqi Si,et al.  On-line flame signal time series analysis for oil-fired burner optimization , 2015 .

[4]  Giuseppe Nunnari,et al.  A cellular neural networks approach to flame image analysis for combustion monitoring , 2000, Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA 2000) (Cat. No.00TH8509).

[5]  Vinod M. Janardhanan,et al.  A new framework for modeling coal devolatilization and combustion in boiler furnaces , 2017 .

[6]  Charles E. A. Finney,et al.  Flame monitoring enhances burner management , 2003 .

[7]  M. G Abdul Rahman,et al.  Combustion in power station boilers: advanced monitoring using imaging , 2004 .

[8]  B. Qi,et al.  Costs due to utility boiler fouling in China , 2005 .

[9]  P.M. Sandvik,et al.  Silicon carbide photodiode sensor for combustion control , 2005, IEEE Sensors Journal.

[10]  M. Siddhartha Bhatt,et al.  Performance enhancement in coal fired thermal power plants. part I : Boilers , 1999 .

[11]  Samah M. Said,et al.  Computer‐based boiler efficiency improvement , 2019 .

[12]  Yong Yan,et al.  A digital imaging based multifunctional flame monitoring system , 2004, IEEE Transactions on Instrumentation and Measurement.

[13]  M. Siddhartha Bhatt,et al.  Energy conservation in 210 MW coal‐fired thermal power plants , 1995 .

[14]  Hua Wei Huang,et al.  Flame colour characterization in the visible and infrared spectrum using a digital camera and image processing , 2008 .

[15]  Sung Jin Lee,et al.  Flame image processing and analysis for optimal coal firing of thermal power plant , 2001, ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570).

[16]  Yun Zhang,et al.  A Boiler Flame Detecting System Based on TMS320DM642 , 2009, 2009 International Conference on Artificial Intelligence and Computational Intelligence.

[17]  Mikael Höök,et al.  A review on coal‐to‐liquid fuels and its coal consumption , 2010 .

[18]  Eldon R. Rene,et al.  Performance prediction of a RPF‐fired boiler using artificial neural networks , 2014 .

[19]  J. Broadbent.  Fundamental flame flicker monitoring for power plant boilers , 2000 .

[20]  D. Che,et al.  Utilization of combustible waste gas as a supplementary fuel in coal‐fired boilers , 2018 .

[21]  P. Sridevi,et al.  Influence of fuzzy index parameter on FSVM classifier performance , 2017 .

[22]  David M. W. Powers,et al.  Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation , 2011, ArXiv.

[23]  Justin C. Glier,et al.  Techno‐economic assessment of carbon capture, utilization and storage for coal‐fired power generation, and CO 2 ‐enhanced oil recovery in the USA: an Ohio case study , 2019, Greenhouse Gases: Science and Technology.

[24]  Fumio Harashima,et al.  Flame detection for the steam boiler using neural networks and image information in the Ulsan steam power generation plant , 2006, IEEE Transactions on Industrial Electronics.

[25]  K. S. Dhathathreyan,et al.  Application of artificial neural network in performance prediction of PEM fuel cell , 2012 .

[26]  Mingyao Zhang,et al.  NOx emissions of an opposed wall-fired pulverized coal utility boiler , 2009 .

[27]  Flame characteristics with high temperature air combustion , 2000 .

[28]  Yong Yan,et al.  Three dimensional visualisation and reconstruction of the luminosity distribution of a flame using digital imaging techniques , 2005 .

[29]  S. Kelley,et al.  Artificial neural network based modeling for the prediction of yield and surface area of activated carbon from biomass , 2019, Biofuels, Bioproducts and Biorefining.

[30]  S. Rui,et al.  Experimental study of the combustion efficiency and formation of NOx in an industrial pulverized coal combustor , 2004 .