Skip to main content
Top

2015 | OriginalPaper | Chapter

80. Soft-Sensing of Coal Ash Content Based on Dual-Energy Γ-Rays

Authors : Dong Cheng, Fengwen Shen, Zhaosheng Teng, Siyu Guo, He Wen

Published in: Proceedings of the Second International Conference on Mechatronics and Automatic Control

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

To improve the measurement accuracy of coal ash content, this chapter proposes an intelligent soft-sensing method based on dual-energy γ-rays by using the functional link neural network. This method takes 241Am and 137Cs as the resources of low-energy and medium-energy γ-rays, respectively, and uses the γ count of the detector as auxiliary variable. The coal ash content is measured and verified after accomplishing the model of soft-sensing with the functional link neural network that is optimized by chaos algorithm. The result shows that the method of functional link neural network forecasting based on chaos optimization algorithm has higher accuracy and excellent extensive capability than conventional nuclear technology. The intelligent soft-sensing based on functional link neural network with optimized chaos algorithm forecasting model is of measurement accuracy, and the most error and mean error between the soft-sensing values and real values are 0.9  and 0.7 %.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Lim CS, Abernethy DA. On-line coal analysis using fast neutron-induced gamma-rays. Appl radiat isot. 2005;63(5):697–704.CrossRef Lim CS, Abernethy DA. On-line coal analysis using fast neutron-induced gamma-rays. Appl radiat isot. 2005;63(5):697–704.CrossRef
2.
go back to reference Kim DW. Application of near infrared diffuse reflectance spectroscopy for on-line measurement of coal properties. Korean J Chem Eng. 2009;26(2):489–95.CrossRef Kim DW. Application of near infrared diffuse reflectance spectroscopy for on-line measurement of coal properties. Korean J Chem Eng. 2009;26(2):489–95.CrossRef
3.
go back to reference Takeuchi S. Low-lying states in Mg 32 studied by proton inelastic scattering. Phys Rev C. 2009;79(5):314–9.CrossRef Takeuchi S. Low-lying states in Mg 32 studied by proton inelastic scattering. Phys Rev C. 2009;79(5):314–9.CrossRef
4.
go back to reference Suster D, et al. Accuracy of dual energy X-ray absorptiometry (DXA), weight and P2 back fat to predict whole body and carcass composition in pigs within and across experiments. Livest prod sci. 2003;84(3):231–42.CrossRef Suster D, et al. Accuracy of dual energy X-ray absorptiometry (DXA), weight and P2 back fat to predict whole body and carcass composition in pigs within and across experiments. Livest prod sci. 2003;84(3):231–42.CrossRef
5.
go back to reference Takahashi T, et al. High-resolution Schottky CdTe diode for hard X-ray and gamma-ray astronomy. Nucl Instrum Methods Phys Res Sect A: Accel Spectrom Detect Assoc Equip. 1999;436(1):111–9.CrossRef Takahashi T, et al. High-resolution Schottky CdTe diode for hard X-ray and gamma-ray astronomy. Nucl Instrum Methods Phys Res Sect A: Accel Spectrom Detect Assoc Equip. 1999;436(1):111–9.CrossRef
6.
go back to reference Patra JC, Kot AC. Nonlinear dynamic system identification using Chebyshev functional link artificial neural networks. Syst Man Cybern Part B: Cybern IEEE Trans. 2002;32(4):505–11.CrossRef Patra JC, Kot AC. Nonlinear dynamic system identification using Chebyshev functional link artificial neural networks. Syst Man Cybern Part B: Cybern IEEE Trans. 2002;32(4):505–11.CrossRef
7.
go back to reference Li S-J, Liu Y-X. An improved approach to nonlinear dynamical system identification using PID neural networks. Int J Nonlinear Sci Numer Simul. 2006;7(2):177–82.CrossRef Li S-J, Liu Y-X. An improved approach to nonlinear dynamical system identification using PID neural networks. Int J Nonlinear Sci Numer Simul. 2006;7(2):177–82.CrossRef
8.
go back to reference Rafiee J, et al. Intelligent condition monitoring of a gearbox using artificial neural network. Mech Syst Signal Process. 2007;21(4):1746–54.CrossRef Rafiee J, et al. Intelligent condition monitoring of a gearbox using artificial neural network. Mech Syst Signal Process. 2007;21(4):1746–54.CrossRef
9.
go back to reference Chu JL, Li HY, Chen XJ. Research on improved bp learning algorithm of BP neural network. Adv Mater Res. 2013;765(4):1644–7.CrossRefMATH Chu JL, Li HY, Chen XJ. Research on improved bp learning algorithm of BP neural network. Adv Mater Res. 2013;765(4):1644–7.CrossRefMATH
10.
go back to reference Patra JC, et al. Identification of nonlinear dynamic systems using functional link artificial neural networks. Syst Man Cybern Part B: Cybern IEEE Trans. 1999;29(2):254–62.CrossRef Patra JC, et al. Identification of nonlinear dynamic systems using functional link artificial neural networks. Syst Man Cybern Part B: Cybern IEEE Trans. 1999;29(2):254–62.CrossRef
11.
go back to reference Lin Y-Y, Chang J-Y, Lin C-T. Identification and prediction of dynamic systems using an interactively recurrent self-evolving fuzzy neural network. Neural Netw Learn Syst IEEE Trans. 2013;24(2):310–21.CrossRef Lin Y-Y, Chang J-Y, Lin C-T. Identification and prediction of dynamic systems using an interactively recurrent self-evolving fuzzy neural network. Neural Netw Learn Syst IEEE Trans. 2013;24(2):310–21.CrossRef
12.
go back to reference Sicuranza GL, Carini A. On the BIBO stability condition of adaptive recursive FLANN filters with application to nonlinear active noise control. Audio Speech Lang Process IEEE Trans. 2012;20(1):234–45.CrossRef Sicuranza GL, Carini A. On the BIBO stability condition of adaptive recursive FLANN filters with application to nonlinear active noise control. Audio Speech Lang Process IEEE Trans. 2012;20(1):234–45.CrossRef
14.
go back to reference Bouras A, Syam WP. Hybrid chaos optimization and affine scaling search algorithm for solving linear programming problems. Appl Soft Comput. 2013;13(5):2703–10.CrossRef Bouras A, Syam WP. Hybrid chaos optimization and affine scaling search algorithm for solving linear programming problems. Appl Soft Comput. 2013;13(5):2703–10.CrossRef
Metadata
Title
Soft-Sensing of Coal Ash Content Based on Dual-Energy Γ-Rays
Authors
Dong Cheng
Fengwen Shen
Zhaosheng Teng
Siyu Guo
He Wen
Copyright Year
2015
DOI
https://doi.org/10.1007/978-3-319-13707-0_80