Title :
Representative Vector Method for modeling of energy consumption for the assembly line
Author :
Fratczak, Michal ; Klopot, Tomasz ; Czeczot, Jacek ; Bregulla, Markus
Author_Institution :
Inst. of Autom. Control, Silesian Univ. of Technol., Gliwice, Poland
Abstract :
In this paper, the problem of modeling of the energy consumption of a single component of the assembly line is considered. The motivation is shortly presented and the procedure of the initial preprocessing of the measurement data is described. Then, the conventional discrete time auto regressive models are considered and their applicability is compared with the suggested Representative Vector Method (RVM). This method is based on the storing of the re-sampled data in the shorter representative vector with the level of compression depending on the assumed modeling accuracy.
Keywords :
assembling; energy consumption; regression analysis; vectors; RVM; assembly line energy consumption modeling; compression; discrete time auto regressive models; modeling accuracy; representative vector method; Accuracy; Assembly; Computational modeling; Data models; Energy consumption; Energy measurement; Vectors;
Conference_Titel :
Methods and Models in Automation and Robotics (MMAR), 2013 18th International Conference on
Conference_Location :
Miedzyzdroje
Print_ISBN :
978-1-4673-5506-3
DOI :
10.1109/MMAR.2013.6669945