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Volumn 47, Issue 7-8, 2006, Pages 992-1003

Neural network analysis of head-flow curves in deep well pumps

Author keywords

Blade number; Head flow curve; Neural networks; Splitter blade

Indexed keywords

ERROR ANALYSIS; IMPELLERS; LEARNING ALGORITHMS; TURBOMACHINE BLADES; WELL PUMPS;

EID: 31144471022     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2005.06.023     Document Type: Article
Times cited : (28)

References (26)
  • 1
    • 0030702652 scopus 로고    scopus 로고
    • Advances in hydraulic design of centrifugal pumps
    • ASME Vancouver, British Columbia, Canada
    • Yuan S. Advances in hydraulic design of centrifugal pumps. ASME, Fluids Engineering Division summer meeting. Vancouver, British Columbia, Canada, 1997. p. 1-15.
    • (1997) Fluids Engineering Division Summer Meeting , pp. 1-15
    • Yuan, S.1
  • 2
    • 0024645463 scopus 로고
    • Study on flow of centrifugal impeller (1st report, flow measurement in unshrouded impeller passage)
    • H. Miyamoto, Y. Nakashima, Y. Yasunaga, and K. Shiramoto Study on flow of centrifugal impeller (1st report, flow measurement in unshrouded impeller passage) Trans Jpn Soc Mech Eng 55B 512 1989 1137 (in Japanese)
    • (1989) Trans Jpn Soc Mech Eng , vol.55 , Issue.512 , pp. 1137
    • Miyamoto, H.1    Nakashima, Y.2    Yasunaga, Y.3    Shiramoto, K.4
  • 3
    • 0024751764 scopus 로고
    • Study on flow of centrifugal impeller (2nd report, flow measurement in shrouded impeller passage)
    • H. Miyamoto, Y. Nakashima, Y. Yasunaga, and K. Shiramoto Study on flow of centrifugal impeller (2nd report, flow measurement in shrouded impeller passage) Trans Japan Soc Mech Eng 55B 518 1989 3108 (in Japanese)
    • (1989) Trans Japan Soc Mech Eng , vol.55 , Issue.518 , pp. 3108
    • Miyamoto, H.1    Nakashima, Y.2    Yasunaga, Y.3    Shiramoto, K.4
  • 4
    • 0040343476 scopus 로고
    • Variational principal families for the direct aerodynamic problem of multi-row airfoil cascade on an arbitrary stream sheet of revolution
    • Lui GL. Variational principal families for the direct aerodynamic problem of multi-row airfoil cascade on an arbitrary stream sheet of revolution. In: Proceedings of the international conference on finite element method, 1982. p. 520-3.
    • (1982) Proceedings of the International Conference on Finite Element Method , pp. 520-523
    • Lui, G.L.1
  • 5
    • 27144453402 scopus 로고
    • A finite element method for solving the aerodynamic direct problem of flow between the blades on an arbitrary stream sheet of revolution with splitter blade
    • K.M. Chen A finite element method for solving the aerodynamic direct problem of flow between the blades on an arbitrary stream sheet of revolution with splitter blade J Eng Thermophys 3 1982 145 150
    • (1982) J Eng Thermophys , vol.3 , pp. 145-150
    • Chen, K.M.1
  • 6
    • 0021410441 scopus 로고
    • Matrix solution of compressible flow on S1 surface though a turbomachine blade row with splitter blades
    • C.H. Wu, and B.G. Wang Matrix solution of compressible flow on S1 surface though a turbomachine blade row with splitter blades Trans ASME J Gas Turbine Power 109 1984 449 457
    • (1984) Trans ASME J Gas Turbine Power , vol.109 , pp. 449-457
    • Wu, C.H.1    Wang, B.G.2
  • 9
    • 5044252688 scopus 로고    scopus 로고
    • A Diesel engine's performance and exhaust emissions
    • E. Arcaklioglu, and I. Celikten A Diesel engine's performance and exhaust emissions Appl Energy 80 2005 11 22
    • (2005) Appl Energy , vol.80 , pp. 11-22
    • Arcaklioglu, E.1    Celikten, I.2
  • 10
    • 1642355338 scopus 로고    scopus 로고
    • Artificial neural network analysis of heat pumps using refrigerant mixtures
    • E. Arcaklioglu, A. Erisen, and R. Yilmaz Artificial neural network analysis of heat pumps using refrigerant mixtures Energy Convers Manage 45 2004 1917 1929
    • (2004) Energy Convers Manage , vol.45 , pp. 1917-1929
    • Arcaklioglu, E.1    Erisen, A.2    Yilmaz, R.3
  • 11
    • 0032630584 scopus 로고    scopus 로고
    • Predicting axial piston pump performance using neural networks
    • M.A. Karkoub, O.E. Gad, and M.G. Rabie Predicting axial piston pump performance using neural networks Mech Mach Theory 34 1999 1211 1226
    • (1999) Mech Mach Theory , vol.34 , pp. 1211-1226
    • Karkoub, M.A.1    Gad, O.E.2    Rabie, M.G.3
  • 12
    • 0033879856 scopus 로고    scopus 로고
    • Artificial neural networks for the prediction of the energy consumption of a passive solar building
    • S.A. Kalogirou, and M. Bojic Artificial neural networks for the prediction of the energy consumption of a passive solar building Energy 25 2000 479 491
    • (2000) Energy , vol.25 , pp. 479-491
    • Kalogirou, S.A.1    Bojic, M.2
  • 13
    • 0032681110 scopus 로고    scopus 로고
    • Modeling of solar domestic water heating systems using artificial neural networks
    • S.A. Kalogirou, S. Panteliou, and A. Dentsoras Modeling of solar domestic water heating systems using artificial neural networks Solar Energy 65 1999 335 342
    • (1999) Solar Energy , vol.65 , pp. 335-342
    • Kalogirou, S.A.1    Panteliou, S.2    Dentsoras, A.3
  • 14
    • 0032083450 scopus 로고
    • Artificial neural networks for modeling the starting-up of a solar, steam-generator
    • S.A. Kalogirou, C.S. Neocleous, and C.N. Schizas Artificial neural networks for modeling the starting-up of a solar, steam-generator Appl Energy 60 1988 89 100
    • (1988) Appl Energy , vol.60 , pp. 89-100
    • Kalogirou, S.A.1    Neocleous, C.S.2    Schizas, C.N.3
  • 15
    • 0037199062 scopus 로고    scopus 로고
    • Modeling of thermodynamic properties using neural networks: Application to refrigerants
    • A. Chouai, S. Laugier, and D. Richon Modeling of thermodynamic properties using neural networks: application to refrigerants Fluid Phase Equilibria 199 2002 53 62
    • (2002) Fluid Phase Equilibria , vol.199 , pp. 53-62
    • Chouai, A.1    Laugier, S.2    Richon, D.3
  • 16
    • 0032675088 scopus 로고    scopus 로고
    • Application of artificial neural networks in energy systems: A review
    • S.A. Kalogirou Application of artificial neural networks in energy systems: a review Energy Convers Manage 40 1999 1073 1087
    • (1999) Energy Convers Manage , vol.40 , pp. 1073-1087
    • Kalogirou, S.A.1
  • 17
    • 0035372175 scopus 로고    scopus 로고
    • New approach to dynamic modeling of vapour compression liquid chillers: Artificial neural networks
    • H. Bechtler, M.W. Browne, P.K. Bansal, and V. Kecman New approach to dynamic modeling of vapour compression liquid chillers: artificial neural networks Appl Energy 21 2001 941 953
    • (2001) Appl Energy , vol.21 , pp. 941-953
    • Bechtler, H.1    Browne, M.W.2    Bansal, P.K.3    Kecman, V.4
  • 18
    • 0033684135 scopus 로고    scopus 로고
    • Thermosiphon solar domestic water heating systems: Long term performance prediction using artifical neural networks
    • S.A. Kalogirou, and S. Panteliou Thermosiphon solar domestic water heating systems: long term performance prediction using artifical neural networks Solar Energy 69 2000 163 174
    • (2000) Solar Energy , vol.69 , pp. 163-174
    • Kalogirou, S.A.1    Panteliou, S.2
  • 19
    • 0032073494 scopus 로고    scopus 로고
    • Estimation of global solar radiation using artificial neural networks
    • M. Mohandes, S. Rehman, and T.O. Halawani Estimation of global solar radiation using artificial neural networks Renewable Energy 14 1998 179 184
    • (1998) Renewable Energy , vol.14 , pp. 179-184
    • Mohandes, M.1    Rehman, S.2    Halawani, T.O.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.