Simulation modelling of water-supply network as mechatronic system

Proceedings of the 16th International Conference on Mechatronics, Mechatronika 2014

Volumn , Issue , 2014, Pages 697-700

  Kovar, Jiri ^a   Rucka, Jan ^b   Andrs, Ondrej ^a  

^a BRNO UNIVERSITY OF TECHNOLOGY   (Czech Republic)

^b BRNO UNIVERSITY OF TECHNOLOGY   (Czech Republic)

Author keywords

mechatronics; pressure pipe network; regulation of pressure pipe network

Indexed keywords

MECHATRONICS;

INTERDISCIPLINARY FIELDS; MECHATRONIC SYSTEMS; PRESSURE PIPES; TECHNICAL OBJECTS; WATER SUPPLY NETWORKS;

WATER SUPPLY;

EID: 84946686023     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MECHATRONIKA.2014.7018346     Document Type: Conference Paper

References (18)

1. VDI 2206 Design methodology for mechatronic systems, 2002
2. G International Energy Agency, World Energy Outlook 2009, [Online, accessed 16-8-2013] http://www.worldenergyoutlook.org/media/ weowebsite/2009 /WEO2009.pdf
3. de Almeida, A.T., Ferreira, F.J.T.E., Fong, J., Fonseca, P.: EUP Lot 11 Motors, ISR-University of Coimbra, 2008, [Online, accessed 14.8.2013] http://www.ebpg.bam.de/de/ebpg-medien/011-studyf-08-04-motors-updated.pdf
4. Kovar, J.: Pressure and Flow Rate Regulation Design for Pump-Tank System, Ph.D. Thesis, Brno university of Technology (in Czech), (2014)
5. Todini, E., Pilati, S.: A gradient algorithm for the analysis of pipe networks, Computer applications in water supply, Tauton, UK, (1988)
6. Salgado-Castro, R., O., Computer modelling of water supply distribution networks using the gradient method, Volume One & Two, Ph.D. Thesis, Newcastle university (1988)
7. Iftekhar, A.: Application of the gradient method for the analysis of unsteady flow in water networks, Ph.D. Thesis, The University of Arizona, (1997)
8. Simpson, A. R., Lansey, K.E., Choi, CH.Y., Ostfeld, A., Pepper, I.L., Comparing the Q-Equations and Todini-Pilati Formulation for Solving the Water Distribution System Equations, Proceedings of ASCE, pp 37-54, DOI: 10.1061/41203(425)6, (2010)
9. Rao, C.R., Bree, D.W., Extended period simulation of water systems - Part A, Journal of the hydraulic division, Proceedings of ASCE, Vol. 103, No. 2 pp. 97-108, (1997)
10. Z. Hadas, V. Vetiska, R. Huzlik, and V. Singule, "Model-based design and test of vibration energy harvester for aircraft application," Microsyst. Technol., vol. 20, no. 4-5, pp. 831-843, Jan. 2014.
11. Kovar, J., Rucka, J.: Software Tool for Calibration of Hydraulic Models of Water-Supply Networks. In Mechatronics 2013 Recent Technological and Scientific Advances. 1. London: Springer, pp. 253-258 (2013)
12. L. Tuhovák, M. Tauš, P. Míka, Indirect Condition Assessment of Water Mains, Procedia Engineering, Volume 70, 2014, Pages 1669-1678, ISSN 1877-7058, http://dx.doi.org/10.1016/j.proeng.2014.02.184.
13. G.A. Cuesta Cordoba, L. Tuhovák, M. Tauš, Using Artificial Neural Network Models to Assess Water Quality in Water Distribution Networks, Procedia Engineering, Volume 70, 2014, Pages 399-408, ISSN 1877-7058, http://dx.doi.org/10.1016/j.proeng.2014.02.045
14. Rucka, J., Kovar, J.: Prevention of discoloration events in water distribution systems, Procedia Engineering, 12th International Conference on Computing and Control for the Water Industry, CCWI2013, Vol. 70, (2014), pp. 1441-1449, DOI: 10.1016/j.proeng.2014.02.159, (2014)
15. Linder, M, Sekaj, I.: Parallel genetic algorithms, Proceedings of 17th International Conference on Soft Computing - MENDEL 2011, no. 17 in MENDEL, pp. 9-15. Brno University of Technology, VUT Press, Brno (2011)
16. Kovar, J., Andrs, O.: Particle swarm optimization technique applied to image recognition using delta robot, Proceedings of 17th International Conference on Soft Computing - MENDEL 2011, no. 17, pp. 62-72. Brno University of Technology, Brno, (2011)
17. Šastný, J., Škorpil, V.: Analysis of Algorithms for Radial Basis Function Neural Network. Personal Wireless Communications, Springer US, Issue 1, pp. 54-62 DOI 10.1007/978-0-387-74159-8-5, (2007)
18. Kovar, J., Rucka, J; Some notes to the using of GA for pump scheduling in real-time regime. In 20th International Conference on Soft Computing, MENDEL 2014 (id 22122). Mendel Journal series. 2014. Brno: VUT, 2014. s. 415-420. ISBN: 978-80-214-4984-8. ISSN: 1803-3814.