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Tytuł artykułu

Analysis of the gas network failure and failure prediction using the Monte Carlo simulation method

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Analiza awaryjności sieci gazowych oraz prognozowanie awarii z zastosowaniem symulacyjnej metody Monte Carlo
Języki publikacji
EN
Abstrakty
EN
The scope of the article includes the analysis of the gas network failure based on a material obtained from field tests covering the years 2004-2014, conducted on the gas network of 120 thousand city, allowing to specify the failure rate of the gas network with division into material, pressure and pipelines diameter and indicate the main causes of failure on gas networks. On the base of the results of this analysis the Monte Carlo method to predict failures in gas pipe network has been presented.
PL
Artykuł swoim zakresem obejmuje analizę awaryjności sieci gazowej na podstawie uzyskanego materiału z badań eksploatacyjnych obejmujących lata 2004-2014 prowadzonych na terenie Zakładu Gazowniczego w 120 tys. mieście, co pozwoliło na podanie intensywności uszkodzeń sieci gazowych z podziałem na materiał, ciśnienie i średnice rurociągów oraz podanie głównych przyczyn powstawania awarii na sieciach gazowych. Na podstawie wyników analizy zaprezentowano zastosowanie metody Monte Carlo do prognozowania awarii sieci gazowych.
Rocznik
Strony
254--259
Opis fizyczny
Bibliogr. 34 poz., rys. tab.
Twórcy
  • Department of Water Supply and Sewerage Systems Rzeszow University of Technology Al. Powstancow Warszawy, 35-959 Rzeszow, Poland
  • Department of Water Supply and Sewerage Systems Rzeszow University of Technology Al. Powstancow Warszawy, 35-959 Rzeszow, Poland
autor
  • Department of Water Supply and Sewerage Systems Rzeszow University of Technology Al. Powstancow Warszawy, 35-959 Rzeszow, Poland
Bibliografia
  • 1. Adhikari R, Agrawal R K. Performance evaluation of weights selection schemes for linear combination of multiple forecasts, Artificial Intelligence Review 2014; 4(42): 529-548, http://dx.doi.org/10.1007/s10462-012-9361-z.
  • 2. Borgoń J, Jaźwiński J, Klimaszewski S, Żmudziński Z, Żurek J. Simulation methods for testing the safety of flights, WNT, Warsaw 1998.
  • 3. Brown, N., Crate, J.M.: Analysis of a failure in a polyethylene gas pipe caused by squeeze off resulting in an explosion, Journal of Failure Analysis and Prevention, 12 (1)2012: 30-36, http://dx.doi.org/10.1007/s11668-011-9527-z.
  • 4. Cang S, Yu H. A combination selection algorithm on forecasting. European Journal of Operational Research 2014; 1(234): 127-139, http://dx.doi.org/10.1016/j.ejor.2013.08.045.
  • 5. Chandrashekara AS, Ananthapadmanabha T, Kulkarni AD. A neuro-expert system for planning and load forecasting of distribution systems, International Journal of Electrical Power & Energy Systems 1999; 5(21): 309-314, http://dx.doi.org/10.1016/S0142-0615(98)00057-X.
  • 6. Che JX. Optimal sub-models selection algorithm for combination forecasting model. Neurocomputing 2015; 1(151): 364-375, http://dx.doi.org/10.1016/j.neucom.2014.09.028.
  • 7. Costantini M, Pappalardo C. A hierarchical procedure for the combination of forecasts, International Journal of Forecasting 2010; 4(26):725-743, http://dx.doi.org/10.1016/j.ijforecast.2009.09.006.
  • 8. Gonzalez PA, Zamarreno JA. Prediction of hourly energy consumption in buildings based on a feedback artificial neural network. Energy and Buildings 2005; 37: 595-601, http://dx.doi.org/10.1016/j.enbuild.2004.09.006.
  • 9. Hao, Y.-M., Zhang, C.-S., Shao, H., Wang, M.-T. Bayes network quantitative risk analysis for failure of natural gas pipelines, Journal of Northeastern University, Volume 32, Issue SUPPL. 2011; 2: 321-325.
  • 10. Huang K, Yang H, Shi J, Long T, Suxin: Analysis on natural gas pipeline network rehabilitation technology. Natural Gas Industry 2006; 26(4): A19-A20, 119-121.
  • 11. Kent Muhlbauer W. Pipeline Risk Management, Gulf Publishing Company, London 1992.
  • 12. Kizilaslan R, Karlik B. Combination of neural networks forecasters for monthly natural gas consumption prediction. Neural Network World 2009; 19(2): 191-199.
  • 13. Knapik K, Wieczysty A. Theoretical aspects of the application of the Poisson distribution in determining the reliability of the water distribution subsystem. Mat. Conf. Water supply, quality and water protection, Cracow 2000.
  • 14. Kowalski D, Miszta-Kruk K. Failure of water supply networks in selected Polish towns based on the field reliability tests. Engineering Failure Analysis 2013; 35: 736-742, http://dx.doi.org/10.1016/j.engfailanal.2013.07.017.
  • 15. Lux T, Morales-Arias Leonardo. Relative forecasting performance of volatility models: Monte Carlo evidence. Quantitative Finance 2013; 9(13): 1375-1394, http://dx.doi.org/10.1080/14697688.2013.795675.
  • 16. Majid ZA, Mohsin R, Yaacob Z, Hassan Z. Failure analysis of natural gas pipes. Engineering Failure Analysis 2010; 17(4): 818-837, http://dx.doi.org/10.1016/j.engfailanal.2009.10.016.
  • 17. Majid ZA, Mohsin R, Yusof MZ. Experimental and computational failure analysis of natural gas pipe. Engineering Failure Analysis 2012; 19 (1): 32-42, http://dx.doi.org/10.1016/j.engfailanal.2011.09.004.
  • 18. Matvienko AF, Filippov YuI, Sagaradze VV, Pecherkina NL, Baldin AV, Grigor'ev PA. Stress-corrosion cracking of steels for gas-main pipelines: III. Failure of pipes in the heat-affected zone. Physics of Metals and Metallography 2000; 90(3): 309-317.
  • 19. Mohsin R, Majid ZA, Yusof MZ. Multiple failures of API 5L X42 natural gas pipe: Experimental and computational analysis, Engineering Failure Analysis 2013; 34: 10-23, http://dx.doi.org/10.1016/j.engfailanal.2013.07.007.
  • 20. Mohsin R, Majid ZA. Erosive failure of natural gas pipes. Journal of Pipeline Systems Engineering and Practice 2014; 5(4), http://dx.doi.org/10.1061/(ASCE)PS.1949-1204.0000170.
  • 21. Ondrejka Harbulakova V, Estokova A, Stevulova N, Luptakova A. Different aggressive media influence related to selected characteristics of concrete composites investigation. International Journal of Energy and Environmental Engineering 2014; 5 (2-3): 1-6, http://dx.doi.org/10.1007/s40095-014-0082-8.
  • 22. Pietrucha-Urbanik K, Tchórzewska-Cieślak B. Water Supply System operation regarding consumer safety using Kohonen neural network; in: Safety, Reliability and Risk Analysis: Beyond the Horizon - Steenbergen et al. (Eds), Taylor & Francis Group, London 2014: 1115-120.
  • 23. Pluvinage G, Capelle J, Schmitt C, Mouwakeh M. Domain failure assessment diagrams for defect assessment of gas pipes. 19th European Conference on Fracture: Fracture Mechanics for Durability, Reliability and Safety, ECF 2012.
  • 24. Potocnik P, Govekar E, Grabec I. Short-term natural gas consumption forecasting. DeFelice F (ed.), Proceedings of the 16th Iasted International Conference On Applied Simulation And Modelling, Palma de Mallorca, Spain Aug 29-31, 2007, IASTED International Conference on Modelling and Simulation 2007: 353-357.
  • 25. Szybka J, Broniec Z, Pilch R. Forecasting the failure of a thermal pipeline on the basis of risk assessment and exploitation analysis. Eksploatacja i Niezawodnosc -Maintenance and Reliability 2011; 4: 5-10.
  • 26. Tchórzewska-Cieślak B, Rak J. Analysis of gas networks failure in chosen cities. XII Conf. of Heat Engineers, Solina 2000.
  • 27. Tchórzewska-Cieślak B. Reliability of selected elements of the natural gas supply subsystem, PhD Dissertation, Cracow 2002.
  • 28. Valis D, Vintr Z, Malach J. Selected aspects of physical structures vulnerability - state-of-the-art. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2012; 3: 189-194.
  • 29. Wilmott MJ, Diakow DA. Factors influencing stress corrosion cracking of gas transmission pipelines: detailed studies following a pipeline failure. Part 2: pipe metallurgy and mechanical testing. Proceedings of the International Pipeline Conference, IPC, 1/2016: 573-585.
  • 30. Winkler RL, Makridakis S. The combination of forecasts. Journal of the Royal Statistical Society Series A-Statistics in Society 1983; 146, 150-157, http://dx.doi.org/10.2307/2982011.
  • 31. Witek M. Risk of gas transmission through network operations. Gas, Water and Sanitary Engineering 2001; 1: 19-23
  • 32. Xiangpeng Luo, Shunli Lu, Jianfeng Shi, Xiang Li, Jinyang Zheng Numerical simulation of strength failure of buried polyethylene pipe under foundation settlement Engineering Failure Analysis 2015; 48: 144-152, http://dx.doi.org/10.1016/j.engfailanal.2014.11.014.
  • 33. Yin, Y.-L., Lin, G.-L.: Risk analysis of the city gas pipeline network based on the fault tree, IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management 2009: 2477-2481.
  • 34. Zhou Y, Ma L, Mathew J, Sun Y, Wolff R. Asset life prediction using multiple degradation indicators and failure events: a continuous state space model approach. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2009; 4: 72-81.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-dd7679a3-7136-4e8d-ac60-1a216136c47f
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