Boris B. Jakovljevic

Learn More
In this paper, Support Vector Machines (SVMs) are applied in predicting electrical energy consumption in the atmospheric distillation of oil refining at a particular oil refinery. During cross-validation process of the SVM training Particle Swarm Optimization (PSO) algorithm was utilized in selection of free SVM kernel parameters. Incorporation of PSO into(More)
This paper presents procedure for broken rotor bar detection in induction motor based on vibration analysis. Feature set is dimensionally reduced using principal component analysis, and data classification is performed using linear discriminant analysis, technique which is not often used for classification in fault detection.
This paper describes a novel approach towards optimal tuning of distributed order fractional PID controller parameters. A distributed order fractional PID controller (DPID) is approximated by a compound fractional controller with multiple fractional differintegrators connected in parallel. Orders of these differintegrators have been equally spaced, with the(More)
In this paper, Support Vector Machines (SVMs) are applied in predicting energy consumption in the first phase of oil refining at a particular oil refinery. During cross-validation process of the SVM training Particle Swarm Optimization (PSO) algorithm was utilized in selection of free SVM parameters, widths of radial basis functions to be exact.(More)
  • 1