Abstract
Training of operators has become an important problem to be faced by power systems: updating knowledge and skills. An operator must comprehend the physical operation of the process and must be skilled in handling a number of normal and abnormal operating problems and emergencies. We are developing an intelligent environment for training of power system operators. This paper presents the architecture of the intelligent environment composed by computer based training components labeled as reusable learning objects; a learning object repository; concept structure map of the power plant domain, a tutor module based on course planner, operator model based on cognitive and affective components and operator interface. The general aim of our work is to provide operators of complex industrial environments with a suitable training from a pedagogical and affective viewpoint to certify operators in knowledge, skills, expertise, abilities and attitudes for operation of power systems.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Brusilovsky, P., Vassileva, J.: Course sequencing techniques for large-scale web based education. Int. Journal Cont. Engineering Education and Lifelong Learning 13(1/2), 75–94 (2003)
ADL. Sharable Content Object Reference Model Version 1.2: The SCORM Overview. Advanced Distributed Learning (2001), URL: http://www.adlnet.org
W3C. Extensible Markup Language (XML) 1.0. World Wide Web Consortium 2 ed. W3C Recommendation (2000), URL http://www.w3c.org/TR/2000/REC-xml-2001006
Perez, M.: Virtual Reality: introduction, prototypes, applications and tendencies (In Spanish): Boletin IIE, vol. 28(2), Abril-Junio (2004)
Peachey, D.R., McCalla, G.I.: Using planning techniques in intelligent tutoring systems. Int. Journal Man-Machines Studies 24, 77–98 (1986)
Ortony, A., Clore, G.L., Collins, A.: The Cognitive Structure of Emotions. Cambridge University Press, Cambridge (1988)
Costa, P.T., McCrae, R.R.: Four Ways Five Factors are Basic. Personality and Individual Differences 13(1), 653–665 (1992)
Hernández, Y., Noguez, J., Sucar, E., Arroyo-Figueroa, G.: A probabilistic model of affective behavior for Intelligent Tutoring Systems. In: Gelbukh, A., de Albornoz, Á., Terashima-Marín, H. (eds.) MICAI 2005. LNCS (LNAI), vol. 3789, pp. 1175–1184. Springer, Heidelberg (2005)
Pearl, J.: Causality: Models, Reasoning and Inference. Cambridge University Press, Cambridge (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Arroyo-Figueroa, G., Hernandez, Y., Sucar, E. (2006). Intelligent Environment for Training of Power Systems Operators. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892960_113
Download citation
DOI: https://doi.org/10.1007/11892960_113
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46535-5
Online ISBN: 978-3-540-46536-2
eBook Packages: Computer ScienceComputer Science (R0)