메뉴 건너뛰기




Volumn 186 LNEE, Issue , 2013, Pages 341-352

An intelligent flow measurement technique by venturi flowmeter using optimized ANN

Author keywords

Artificial neural networks; Flow measurement; Non linear estimation; Optimization; Sensor modeling; Venturi

Indexed keywords

FLOWMETERS; NEURAL NETWORKS; OPTIMIZATION;

EID: 84872575625     PISSN: 18761100     EISSN: 18761119     Source Type: Book Series    
DOI: 10.1007/978-94-007-5651-9_25     Document Type: Conference Paper
Times cited : (2)

References (29)
  • 4
    • 33144479703 scopus 로고    scopus 로고
    • A smart software sensor for feedwater flow measurement monitoring
    • DOI 10.1109/TNS.2005.861418
    • Na MG, Lee YJ, Hwang IJ (2005) A smart software sensor for feedwater flow measurement monitoring. IEEE Trans Nucl Sci 52(6):3026-3034 (Pubitemid 43269710)
    • (2005) IEEE Transactions on Nuclear Science , vol.52 , Issue.6 , pp. 3026-3034
    • Na, M.G.1    Lee, Y.J.2    Hwang, I.J.3
  • 5
    • 79955962903 scopus 로고    scopus 로고
    • Wet-gas flow modeling for the straight section of throat-extended venturi meter
    • Xu L, Zhou W, Li X, Wang M (2011) Wet-gas flow modeling for the straight section of throat-extended venturi meter. IEEE Trans Instrum Meas 60(6):2080-2087
    • (2011) IEEE Trans Instrum Meas , vol.60 , Issue.6 , pp. 2080-2087
    • Xu, L.1    Zhou, W.2    Li, X.3    Wang, M.4
  • 7
    • 69249202345 scopus 로고    scopus 로고
    • PDF-based progressive polynomial calibration method for smart sensors linearization
    • Pereira JMD, Postolache O, GiraoPMBS(2009) PDF-based progressive polynomial calibration method for smart sensors linearization. IEEE Trans Instrum Meas 58(9): 3245-3252
    • (2009) IEEE Trans Instrum Meas , vol.58 , Issue.9 , pp. 3245-3252
    • Pereira, J.M.D.1    Postolache, O.2    Girao, P.M.B.S.3
  • 8
    • 69549120707 scopus 로고    scopus 로고
    • Monitoring and uncertainty analysis of feedwater flow rate using data-based modeling method
    • Yang HY, Lee SH, Na MG (2009) monitoring and uncertainty analysis of feedwater flow rate using data-based modeling method. IEEE Trans Nucl Sci 56(4): 2426-2433
    • (2009) IEEE Trans Nucl Sci , vol.56 , Issue.4 , pp. 2426-2433
    • Yang, H.Y.1    Lee, S.H.2    Na, M.G.3
  • 10
    • 79951675845 scopus 로고    scopus 로고
    • Wet gas metering using a revised venturi meter and softcomputing approximation techniques
    • Xu L, Zhou W, Li X, Tang S (2011) Wet gas metering using a revised venturi meter and softcomputing approximation techniques. IEEE Trans Instrum Meas 60(3): 946-2087
    • (2011) IEEE Trans Instrum Meas , vol.60 , Issue.3 , pp. 946-2087
    • Xu, L.1    Zhou, W.2    Li, X.3    Tang, S.4
  • 11
    • 60149102422 scopus 로고    scopus 로고
    • Flow meters: Part 1
    • Pereira M (2009) Flow meters: Part 1. IEEE Mag Instrum Meas 12(1):18-26
    • (2009) IEEE Mag Instrum Meas , vol.12 , Issue.1 , pp. 18-26
    • Pereira, M.1
  • 22
    • 35148827874 scopus 로고    scopus 로고
    • Technical report-tr06, Erciyes University, engineering faculty, computer engineering department
    • Karaboga D (2005) An idea based on honey bee swarm for numerical optimization. Technical report-tr06, Erciyes University, engineering faculty, computer engineering department
    • (2005) An Idea Based on Honey Bee Swarm for Numerical Optimization
    • Karaboga, D.1
  • 23
    • 84872869958 scopus 로고    scopus 로고
    • Multi-objective optimization of multi-pass milling process parameters using artificial bee colony algorithm
    • Nova Science Publishers, USA
    • Venkata Rao R (2006) Multi-objective optimization of multi-pass milling process parameters using artificial bee colony algorithm. Artificial intelligence in manufacturing. Nova Science Publishers, USA
    • (2006) Artificial Intelligence in Manufacturing
    • Venkata Rao, R.1
  • 27
    • 0000106040 scopus 로고
    • Universal approach using radial basis function network
    • Park J, Sandberg JW (1991) Universal approach using radial basis function network. Neural Comput 3: 246-257
    • (1991) Neural Comput , vol.3 , pp. 246-257
    • Park, J.1    Sandberg, J.W.2
  • 28
    • 0025490985 scopus 로고
    • Networks for approximation and learning
    • Poggio T, Girosi F (1990) Networks for approximation and learning. Proc IEEE 78(9): 1484-1487
    • (1990) Proc IEEE , vol.78 , Issue.9 , pp. 1484-1487
    • Poggio, T.1    Girosi, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.