• DocumentCode
    1768007
  • Title

    Power quality and long life education

  • Author

    Cardoso, Tiago ; Pereira, Philipe ; Fernao Pires, V. ; Martins, J.F.

  • Author_Institution
    Fac. of Sci. & Technol., Univ. Nova de Lisboa, Lisbon, Portugal
  • fYear
    2014
  • fDate
    1-4 June 2014
  • Firstpage
    2224
  • Lastpage
    2228
  • Abstract
    This paper presents a remote laboratory linked with mobile devices for real data analysis on the field of power quality. A global system was developed from the power quality analyzer into the human machine interface devoted to the m-learning system. This m-learning system is intended to be used in a long life learning perspective. The developed remote laboratory is a good opportunity for people, even without deep knowledge on the field, to learn power quality principles in an applied way. Since the system is based on real data, is a good approach to give trainees practical knowledge on the field.
  • Keywords
    data analysis; educational technology; laboratory techniques; man-machine systems; mobile handsets; power supply quality; data analysis; human machine interface; long life education; m-learning system; mobile devices; power quality analyzer; remote laboratory; Data acquisition; Education; Monitoring; Power quality; Registers; Remote laboratories; Voltage fluctuations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/ISIE.2014.6864963
  • Filename
    6864963