Intelligent Environment for Training of Power Systems Operators
Alberto Reyes, Luis Enrique Sucar, Gustavo Figueroa, Yasmín Hernández · 2008
An important problem faced by power systems is the continuous training of operators. An operator must comprehend the physical operation of the process and must be skilled in handling a number of normal and abnormal operating problems. It is well-known that emotions are important in motivation; if the affect of operators is considered in the training, the process could be improved. This paper presents the architecture of an intelligent environment for training of power system operators, and describes the results in the construction of one of its components: the operator model. This model comprises knowledge and affective aspects about the operator state. The intelligent environment is applied to valve maintenance domain. The aim of our work is to provide operators of complex industrial environments with suitable training from a pedagogical and affective point of view to certify operators in knowledge, skills, expertise, abilities and attitudes for operation of power systems.