Details
Title
A Rapid Monitoring Method for Natural Gas Safety MonitoringJournal title
International Journal of Electronics and TelecommunicationsYearbook
2021Volume
vol. 67Issue
No 3Affiliation
Li, Rongli : Faculty of Sanjiang University, Nanjing, China ; Fan, Yuexin : Faculty of Fujian Normal University, Fuzhou, ChinaAuthors
Keywords
trend judgment ; CUSUM ; Dempster-Shafer evidence theory ; Gauss-Newton nonlinear fitting ; fast alarm monitoring ; concentration predictionDivisions of PAS
Nauki TechniczneCoverage
325-330Publisher
Polish Academy of Sciences Committee of Electronics and TelecommunicationsBibliography
[1] P. Lustenberger, F. Schumacher, M. Spada, P. Burgherr, and B. Stojadinovic, ”Assessing the performance of the European natural gas network for selected supply disruption scenarios using open-source information”, Energies 12, 1–28 (2019). https://doi.org/10.3390/en12244685[2] S. Kakuma, and K. Noda, ”Practical and Sensitive Measurement of Methane Gas Concentration Using a 1.6 μm Vertical–Cavity–Surface– Emitting–Laser Diode”, Sensors and Materials 22 (7), 365–375 (2010).
[3] K. L. Su, Y. L. Liao, S. W. Shiau, and J. H. Guo, ”Bayesian-Estimation– Algorithm-Based Gas Detection Modules”, Sensors and Materials 25 (6), 397–402 (2013).
[4] Y. Xia, J. Wang, L. Xu, X. Li, and S. J. Huang, ”A roomtemperature methane sensor based on Pd-decorated ZnO/rGO hybrids enhanced by visible light photocatalysis”, Sensors and Actuators B:Chemical 304, DOI: 10.1016/j.snb.2019.127334 (2020). https://doi.org/10.1016/j.snb.2019.127334
[5] T. Long, E. Li, L. Yang, J. F. Fan, and Z. Z. Lian, ”Analysis and design of an effective light interference methane sensor based on threedimensional optical path model”, Journal of Sensors Article ID 1342593, 1-11 (2018). https://doi.org/10.1155/2018/1342593
[6] Q. Xiao, J. Li, Z. Bai, J. Sun, N. Zhou, and Z. Zeng, ”A small leak detection method based on VMD adaptive de-noising and ambiguity correlation classification intended for natural gas pipelines”, Sensors 12, 1-16 (2016). https://doi.org/10.3390/s16122116
[7] Z. M. Zhou, J. Zhang, X. S. Huang, and X. S. Guo, ”Experimental study on distributed optical-fiber cable for high-pressure buried natural gas pipeline leakage monitoring”, Optical Fiber Technology 53, Article ID 102028 (2019). https://doi.org/10.1016/j.yofte.2019.102028
[8] T. Jia, T. Guo, X. Wang, D. Zhao, C. Wang, Z. Zhang, S. Lei, W. Liu, H. Liu, and X. Li, ”Mixed Natural Gas Online Recognition Device Based on a Neural Network Algorithm Implemented by an FPGA”, Sensors 19 (9), 1-16 (2019). https://doi.org/10.3390/s19092090
[9] A. X. He, J. Yu, G. F. Wei, Y. Chen, H. Wu, and Z. A. Tang, ”A. Short-time fourier transform and decision tree-based pattern recognition for gas identification using temperature modulated microhotplate gas sensors”, Journal of Sensors Article ID 7603931, 1-12 (2016). https://doi.org/10.1155/2016/7603931
[10] Z. Y. Yang, M. Yin, J. G. Xu, and W. Lin, ”Spatial evolution model of tourist destinations based on complex adaptive system theory: a case study of Southern Anhui, China”, Journal of Geographical Sciences 29 (8), 1411–1434 (2019). https://doi.org/10.1007/s11442-019-1669-z
[11] L. W. Tian, D. J. Moschandreas, J. H. Hao, ”The impact of kitchen activities on indoor pollutant concentrations”, Indoor and Built Environment 17 (4), 377–383 (2008). https://doi.org/10.1177/1420326x08094626
[12] N. Hu, S. D. Liu, Y. Q. Gao, J. P. Xu, X. Zhang, Z. Zhang, and X. H. Lee, ”Large methane emissions from natural gas vehicles in Chinese cities”, Atmospheric Environment 187, 374–380 (2018). https://doi.org/10.1016/j.atmosenv.2018.06.007
[13] Y. Li, C. Hu, C. Huang, and L. Duan, ”The concept of smart tourism in the context of tourism information services”, Tourism Management 58, 293-300 (2016). https://doi.org/10.1016/j.tourman.2016.03.014
[14] P. Zhao, R. Zhuo, S. Li, C. Shu, B. Laiwang, Y. Jia, Y. Shi, and L. Suo, ”Analysis of advancing speed effect in gas safety extraction channels and pressure-relief gas extraction”, Fuel 265, Article ID 116825 (2020). https://doi.org/10.1016/j.fuel.2019.116825
[15] E. R. S. Jaclyn, N. N. A. Franz, C. M. J. Fernando, and M. D. Fabian, ”Developing a chemical and hazardous waste inventory system”, Journal of Chemical Health and Safety 18 (6), 15–18 (2011). https://doi.org/10.1016/j.jchas.2011.05.012
[16] F. Mehraliyev, Y. Choi, and M. A. Koseoglu, ”Progress on smart tourism research”, Journal of Hospitality and Tourism Technology 10, 522-538 (2019). https://doi.org/10.1108/jhtt-08-2018-0076
[17] F. Mehraliyev, I. C. C. Chan, Y. Choi, and M. A. Koseoglu, ”A state-of-the-art review of smart tourism research”, Journal of Travel and Tourism Marketing 37 (1), 78–91 (2020). https://doi.org/10.1080/10548408.2020.1712309
[18] M. Pastell, J. Hietaoja, J. Yun, J. Tiusanen, and A. Valros, ”Predicting farrowing of sows housed in crates and pens using accelerometers and CUSUM charts”, Computers and Electronics in Agriculture 127, 197–203 (2016). https://doi.org/10.1016/j.compag.2016.06.009
[19] S. C. Chapra, ”Applied Numerical Methods with MATLAB for Engineers and Scientists”, McGraw-Hill, New York, 2001.
[20] Q. Liu, Y. Tian, and B. Kang, ”Derive knowledge of Znumber from the perspective of Dempster–Shafer evidence theory”, Applications of Artificial Intelligence 85, 754–764 (2019). https://doi.org/10.1016/j.engappai.2019.08.005
[21] D. Su, Q. Shi, H. Xu, ”Nonintrusive Load Monitoring Based on Complementary Features of Spurious Emissions”, Electronics 8 (9), 1-13 (2019). https://doi.org/10.3390/electronics8091002
[22] Y. S. Chen, ”Research on Self-Validating Methods for Metal Oxide Semiconductor Gas Sensor Arrays”, Doctor’s Thesis, Harbin Institute of Technology, Harbin, China, (2017).