Power Electronics in the Engineering Field: A Perception Comparison between Undergraduate and Graduate Students Using Fuzzy Logic Type 2 Signal Detection Theory

German E.Baltazar Reyes, Pedro Ponce, Raja Ayyanar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes the implementation and analysis of a student survey to evaluate the perception of undergraduate and graduate engineering students have regarding the use of power electronics in the new electrical field. Also, a comparison between the undergraduate power electronics program of Tecnologico de Monterrey and the graduate program of Arizona State University is presented. The objective of this work is to use Fuzzy Logic Type 2 Signal Detection Theory to evaluate the results of the surveys and find the qualities of both educational models and propose a general educational methodology to standardize the general concepts required for future generations of engineers that intend to work in the electrical field. The results obtained demonstrate that both graduate and undergraduate students are sure that their power electronics programs are adequate to their specialization necessities, considering even the uncertainty levels when answering the perception survey.

Original languageEnglish (US)
Title of host publicationProceedings of the 2019 International Conference on Mechatronics, Robotics and Systems Engineering, MoRSE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages128-133
Number of pages6
ISBN (Electronic)9781728139845
DOIs
StatePublished - Dec 2019
Event2019 International Conference on Mechatronics, Robotics and Systems Engineering, MoRSE 2019 - Bali, Indonesia
Duration: Dec 4 2019Dec 6 2019

Publication series

NameProceedings of the 2019 International Conference on Mechatronics, Robotics and Systems Engineering, MoRSE 2019

Conference

Conference2019 International Conference on Mechatronics, Robotics and Systems Engineering, MoRSE 2019
Country/TerritoryIndonesia
CityBali
Period12/4/1912/6/19

Keywords

  • educational innovation
  • fuzzy logic
  • perception
  • power electronics
  • signal detection theory

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Modeling and Simulation

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