Real-time in situ monitoring of ash content in coal via dual-energy X-rays and an MLP neural network

References

• Akman, F., R. Durak, M. F. Turhan, and M. R. Kaçal. 2015. “Studies on Effective Atomic Numbers, Electron Densities from Mass Attenuation Coefficients Near the K Edge in Some Samarium Compounds.” Applied Radiation and Isotopes 101:107–113. https://doi.org/10.1016/j.apradiso.2015.04.001.
   PubMed Web of Science ®Google Scholar
• Badi, H., A. Hamza, and S. Hasan. 2017. “IEEE 2017 Intelligent Systems Conference (IntelliSys) - United Kingdom (2017.9.7-2017.9.8).” 2017 Intelligent Systems Conference (IntelliSys) - New method for optimization of static hand gesture recognition, 542–544.
   Google Scholar
• Cao, C., M. F. Toney, T.-K. Sham, R. Harder, P. R. Shearing, X. Xiao, J. Wang, et al. 2020. “Emerging X-Ray Imaging Technologies for Energy Materials.” Materials Today 34:132–147. https://doi.org/10.1016/j.mattod.2019.08.011.
   Web of Science ®Google Scholar
• Cao, F., D. Yu, W. Ma, X. Xu, B. Cai, Y. M. Yang, S. Liu, et al. 2020. “Shining Emitter in a Stable Host: Design of Halide Perovskite Scintillators for X-Ray Imaging from Commercial Concept.” Agricultural Science & Technology Nano 14 (5): 5183–5193. https://doi.org/10.1021/acsnano.9b06114.
   Google Scholar
• Cheng, D., Z. S. Teng, and F. H. Li. 2014. “Coal Ash Measurement Model and Its Application Based on Dual-energy γ-ray[J].” Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences 41 (5): 99–105.
   Google Scholar
• Chen, X., J. Song, X. Chen, and H. Yang. 2019. “X-Ray-Activated Nanosystems for Theranostic Applications.” Chemical Society Reviews 48 (11): 3073–3101. https://doi.org/10.1039/C8CS00921J.
   PubMed Web of Science ®Google Scholar
• Fangyun, N. 2008. “Using Improved BP Neural Network Algorithm to Predict Short-Term Power Load.” Power Supply 25 (2): 16–19.
   Google Scholar
• Heo, J. H., D. H. Shin, J. K. Park, D. H. Kim, S. J. Lee, and S. H. Im. 2018. “High‐Performance Next‐Generation Perovskite Nanocrystal Scintillator for Nondestructive X‐Ray Imaging.” Advanced Materials 30 (40). https://doi.org/10.1002/adma.201801743.
   Web of Science ®Google Scholar
• Kamkaew, A., F. Chen, Y. Zhan, R. L. Majewski, and W. Cai. 2016. “Scintillating Nanoparticles As Energy Mediators for Enhanced Photodynamic Therapy.” Agricultural Science & Technology Nano 10 (4): 3918–3935. https://doi.org/10.1021/acsnano.6b01401.
   Google Scholar
• Kavouridis, K. V., and F. F. Pavloudakis. 2007. “Evaluation of an On-Line Ash Analysis System for Low-Grade and Inhomogeneous Greek Lignite.” Energy & Fuels 21 (4): 2204–2211. https://doi.org/10.1021/ef060304s.
   Web of Science ®Google Scholar
• Khoonthiwong, C., P. Saengkaew, and N. Chankow. 2022. “Determination of the Ash Content of Coal Samples by Nuclear Techniques with Bismuth Germanate Detectors.” International Journal of Coal Preparation and Utilization 42 (5): 1489–1498. https://doi.org/10.1080/19392699.2020.1729137.
   Web of Science ®Google Scholar
• Kim, Y. C., K. H. Kim, D.-Y. Son, D.-N. Jeong, J.-Y. Seo, Y. S. Choi, I. T. Han, et al. 2017. “Printable Organometallic Perovskite Enables Large-Area, Low-Dose X-Ray Imaging.” Nature 550 (7674): 87–91. https://doi.org/10.1038/nature24032.
   PubMed Web of Science ®Google Scholar
• Kong, L., J. Bai, H. Li, X. Chen, J. Wang, Z. Bai, Z. Guo, et al. 2018. “The Mineral Evolution During Coal Washing and Its Effect on Ash Fusion Characteristics of Shanxi High Ash Coals.” Fuel 212:268–273. https://doi.org/10.1016/j.fuel.2017.10.046.
   Web of Science ®Google Scholar
• Liu, J., B. Shabbir, C. Wang, T. Wan, Q. Ou, P. Yu, A. Tadich, et al. 2019. “Flexible, Printable Soft-X-Ray Detectors Based on All-Inorganic Perovskite Quantum Dots.” Advanced Materials 31 (30): article 1901644. https://doi.org/10.1002/adma.201901644.
   Web of Science ®Google Scholar
• Nikl, M., and A. Yoshikawa. 2015. “Recent R&D Trends in Inorganic Single-Crystal Scintillator Materials for Radiation Detection.” Advanced Optical Materials 3 (4): 463–481. https://doi.org/10.1002/adom.201400571.
   Web of Science ®Google Scholar
• Röntgen, W. C. 1896. “On a New Kind of Rays.” Science 3 (59): 227–231. https://doi.org/10.1126/science.3.59.227.
   PubMedGoogle Scholar
• Shi, J., Y. Zhang, Y. Sun, W. Cao, and L. Zhou. 2022. “Tool Life Prediction of Dicing Saw Based on PSO-BP Neural Network.” The International Journal of Advanced Manufacturing Technology 123 (11–12): 4399–4412. https://doi.org/10.1007/s00170-022-10466-y.
   Web of Science ®Google Scholar
• Stöhr, J., and A. Scherz. 2015a. “Creation of X-Ray Transparency of Matter by Stimulated Elastic Forward Scattering.” Physical Review Letters 115 (10). https://doi.org/10.1103/PhysRevLett.115.107402.
   Web of Science ®Google Scholar
• Stöhr, J., and A. Scherz. 2015b. “Creation of X-Ray Transparency of Matter by Stimulated Elastic Forward Scattering.” Physical Review Letters 115 (10). https://doi.org/10.1103/PhysRevLett.115.107402.
   Web of Science ®Google Scholar
• Tan, J., L. Liang, Y. Peng, and G. Xie. 2016. “The Concentrate Ash Content Analysis of Coal Flotation Based on Froth Images.” Minerals Engineering 92:9–20. https://doi.org/10.1016/j.mineng.2016.02.006.
   Web of Science ®Google Scholar
• Yuan, X., Y. Wu, L. Sun, and X. Wang. 2023. “Research on Efficient Construction Paths for Intelligent Coal Mines in China from the Configuration Perspective.” Applied Sciences 13 (1): 673. https://doi.org/10.3390/app13010673.
   Google Scholar
• Yu, A., H. Liu, C. Wang, J. Lv, F. Wang, S. He, L. Wang, et al. 2022. “Online Ash Content Monitor by Automatic Composition Identification and Dynamic Parameter Adjustment Method in Multicoal Preparation.” Processes 10 (8): 1432. https://doi.org/10.3390/pr10081432.
   Web of Science ®Google Scholar
• Zelin, Z. 2012. “Research on Process and Equipment of Coal Ash Content On-Line Detection.” Coal Preparation Technology 2012 (2): 59–63,72.
   Google Scholar
• Zhang, X., L. Liang, T. Li, J. Tan, X. Liang, and G. Xie. 2021. “Coal Ash Content Measurement Based on Pseudo-Dual Energy X-Ray Transmission.” Minerals 11 (12): 1433. https://doi.org/10.3390/min11121433.
   Web of Science ®Google Scholar
• Zhang, H., Y.-F. Pu, X. Xie, B. Zhang, J. Wang, and T. Huang. 2021. “A Global Neural Network Learning Machine: Coupled Integer and Fractional Calculus Operator with an Adaptive Learning Scheme.” Neural Networks 143:386–399. https://doi.org/10.1016/j.neunet.2021.06.021.
   PubMed Web of Science ®Google Scholar
• Zhan, H., K. Zhao, and L. Xiao. 2015. “Spectral Characterization of the Key Parameters and Elements in Coal Using Terahertz Spectroscopy.” Energy 93:1140–1145. https://doi.org/10.1016/j.energy.2015.09.116.
   Web of Science ®Google Scholar
• Zhizhong, Q. 2020. “Application of X-Ray Coal Quality Online Detection System in Haerwusu Coal Preparation Plant.” Coal Engineering 52 (S2): 51–54.
   Google Scholar
• Zhou, Y., J. Chen, O. M. Bakr, and O. F. Mohammed. 2021. “Metal Halide Perovskites for X-Ray Imaging Scintillators and Detectors.” ACS Energy Letters 6 (2): 739–768. https://doi.org/10.1021/acsenergylett.0c02430.
   Web of Science ®Google Scholar