Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Advanced Numerical Methods for Equations, Systems Equations and Optimization Kapitel lesen Erstes Kapitel lesen

2021 | OriginalPaper | Buchkapitel

Advanced Numerical Methods Based on Artificial Intelligence

verfasst von : Levente Czumbil, Dan D. Micu, Andrei Ceclan

Erschienen in: Numerical Methods for Energy Applications

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The chapter presents some advanced numerical methods based on Artificial Intelligence (AI) techniques applied to specific electrical engineering problems. A theoretical description is done regarding the basic aspects of the nowadays most commonly used AI techniques: Neural Networks, Fuzzy Logic, and Genetic Algorithms respectively. The presented AI techniques are exemplified through two specific electrical engineering application implemented by the authors in their previous research projects. The first application consist in the identification of the optimal equivalent horizontally layered earth structure by means of a Genetic Algorithm according in site soil resistivity measurements. The second application provides a Neural Network alternative two evaluate the impedance matrix that describes the electromagnetic coupling between overhead powerlines and nearby underground pipelines for different separation distances and various vertically layered soil structures.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Theoretical Approaches of Finite Elements Method (FEM)
Nächstes Kapitel Numerical Methods for Solving Nonlinear Equations
Literatur
1.
2.
Brunette ES, Flemmer RC, Flemmer CL (2009s) A review of artificial intelligence. 4th International conference on autonomous robots and agents (ICARA), pp 385–392, Wellington, New Leeland, February 10–12 2009
3.
Rechenberg I (1971) Evolutionsstrategie: Optimierung technischer Systeme nach PrinLipien der biologischen evolution”, Dr. Ing. thesis, Technical University of Berlin, Department of Process Engineering, Berlin
4.
5.
Holland JH (1975) Adaptation in natural and artificial systems, Ann Arbor: The University of Michigan Press
6.
Vose M (1999) The simple genetic algorithm: foundations and theory. MIT Press, Cambrige, Cambridge, MAMATH
7.
Sivanandam SN, Deepa SN (2008) Introduction to genetic algorithms, Springer, New York, USA
8.
Haupt RL, Werner DH (2007) Genetic algorithms in electromagnetics, IEEE Press, Wiley-Interscience
9.
Reeves CR, Rowe JE (2003s) Genetic algorithms: principles and perspectives. A guide to GA theory, Kluwer Academic Publishers, Dordrecht, The Netherlands
10.
Yu X, Gen M (2010) Introduction to evolution algorithms, Springer, London, UK
11.
KoLa JR (1992) Genetic programing, MIT Press, Cambrige, USA
12.
13.
Dubois D, Prade H (1980) Fuzzy sets and systems: theory and applications, Academic Press, New York, USA
14.
Chen G, Pham TT (2001) Introduction to fuzzy sets, fuzzy logic and fuzzy control systems, CRC Press, Boca Raton, Florida, USA
15.
Fuzzy Logic Toolbox (2019) User’s guide, ver. 2.5, The Mathworks Inc.
16.
Ross TJ (2004) Fuzzy logic with engineering applications, 2nd edn, Wiley, Chchester, UK
17.
Buckley JJ, Eslami E (2002) An introduction to fuzzy logic and fuzzy sets, Springer-Verlag, Berlin
18.
McCulloch WS, Pitts W (1943) A logical calculus of the ideas immanent in nervous activity. Bull Math Biol 5(4):115–133MathSciNetMATH
19.
Caudil M, Butler C (1992) Understanding neural networks: computer exploration, vol 1, MA: The MIT Press, Cambrige
20.
Hertz J, Krogh A, Palmer R (1995) Introduction to the theory of neural computation. Lecture notes, Santa Fe Institute, Adduson-WesleL Publishing Company
21.
Hagan MT, Demuth HB, Beale MH, de Jesus O. Neural network design, 2nd edn, eBook
22.
Micu DD, Czumbil L, Christoforidis GC, Simion E (2012) Neural networks applied in electromagnetic interference problems. Revue Roum Des Sci Tech Serie Electrotech et Energetique 57(2):162–171, ISSN: 0035-4066
23.
Christodoulou C, Georgiopoulos M (2001) Applications of neural networks in electromagnetics, Artech House, Norwood, USA
24.
Beale MH, Hagan MT, Demuth HB (2017) Neural networks toolbox. Users’s Guide, ver. 10.0, the Mathworks Inc.
25.
Şteţ D, Czumbil L, Micu DD, Ţopa V, Ancăş L () Stream gas pipeline in proximity of high voltage power lines. Part I—soil resistivity evaluation. In: 47th International universities’ power egineering conference (UPEC), London, UK, September 4–7 2012
26.
Czumbil L, Şteţ D, Micu DD, Ţopa V, Ancăş L (2012) Stream gas pipeline in proximitity of high voltage power lines. Part II—induced voltage evaluation. In: 47th Internatonal universities’ conference on power energy(UPEC), London, UK, September 4–7 2012
27.
Dawalibi FP, Donoso F (1993) Integrated analysis software for grounding, EMF and EMI. IEEE Comput Appl Power 6(2):19–24CrossRef
28.
Yang H, Yuan J, Long W (2001) Determination of three-layer earth from wenner four-probe test data. IEEE Trans Magn 37(5):3684–3687CrossRef
29.
Munteanu MS, Czumbil L, Micu DD, Braicu ȘF, Nemeti S, Pîslaru M (2017) Measurement of soil resistivity in order to determine the buried walls trajectory. Adv Electr Comput Eng (AECE) 17(1):103–108, ISSN: 1582-7445
30.
CIGRE (1995) Guide on the infuence of high voltage AC power systems on metallic pipelines
31.
Micu DD, Christoforidis GC, Czumbil L (2013) AC Interference on Pipelines due to Double Circuit Power Lines: A detailed study. Electr Power Syst Res 103:1–8CrossRef
32.
Gupta A, Thomas MJ (2006) Coupling of high voltage AC power line fields to metallic pipelines. In: 9th International conference on electromagnetic interference and compatibility, (INCEMIC), Bangalore, India, February 23–24 2006
33.
Christoforidis GC, Labridis DB, Dokopoulos PS (2003) Inductive interference calculation on imperfect coated pipelines due to nearby faulted parallel transmission lines. Electr Power Syst Res 66(2):139–148CrossRef
34.
Christoforidis GC, Labridis DP, Dokopoulos PS (2005) A hybrid method for calculating the inductive interference caused by faulted power lines to nearby buried pipelines. IEEE Trans Power Deliv 20(2):1465–1473CrossRef
35.
zumbil L,Micu DD, Șteț D, Ceclan A (2015) Inductive coupling between overhead power lines and nearby metallic pipelines. A neural network approach. Carpathian J Electr Eng (CJEE) 9(1):29–44
36.
Micu DD, Christoforidis GC, Czumbil L (2012) Artificial intelligence techniques applied to electromagnetic interference problems between power lines and metal pipelines. In: Recurrent neural networks and soft computing, Intech, Ch 12, pp 253–274, Rijeka, Croatia
37.
Micu DD,Czumbil L, Christoforidis GC, Ceclan A, Şteţ D (2012) Evaluation of induced AC voltages in underground metallic pipeline. COMPEL: Int J Comput Math Electr Electron Eng 31(4):133–1143
38.
Czumbil L, Christoforidis GC, Micu DD, Şteţ D, Ceclan A, Pop O (2011) A user-friendly software application for induced AC interference evaluation. In: 46th International universities’ power engineering conference, UPEC, Soest, Germany, September 5–8
Metadaten
Titel
Advanced Numerical Methods Based on Artificial Intelligence
verfasst von
Levente Czumbil
Dan D. Micu
Andrei Ceclan
Copyright-Jahr
2021
Buch
Numerical Methods for Energy Applications

Print ISBN: 978-3-030-62190-2

Electronic ISBN: 978-3-030-62191-9

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-3-030-62191-9_4