Detail publikace

INFLUENCE OF THE FUZZY MODEL SUGENO PARAMETERS FOR PREDICTION OF THE LIFETIME OF RELANEX INSULATING MATERIAL

Originální název

INFLUENCE OF THE FUZZY MODEL SUGENO PARAMETERS FOR PREDICTION OF THE LIFETIME OF RELANEX INSULATING MATERIAL

Anglický název

INFLUENCE OF THE FUZZY MODEL SUGENO PARAMETERS FOR PREDICTION OF THE LIFETIME OF RELANEX INSULATING MATERIAL

Jazyk

en

Originální abstrakt

The contribution deals with the lifetime prediction of Relanex insulating material by the help of Sugeno fuzzy model. Our attention was focused to prediction of breakdown voltage Up. This voltage is derived from the input values Ba - activation energy of polarization process, Bv - activation energy of conductance process and Uk - critical voltage parameter. The process of prediction consists in learning of Sugeno fuzzy model with training data set (measured in laboratory) and then by the help of this learned Sugeno fuzzy model we have determined breakdown voltage Up from unknown data set (measured in real electrical rotary machine). Our task was to determine, which of Sugeno fuzzy model parameters has most important effect for breakdown voltage Up prediction. Simulations are realized in MATLAB - Fuzzy Logic Toolbox environment.

Anglický abstrakt

The contribution deals with the lifetime prediction of Relanex insulating material by the help of Sugeno fuzzy model. Our attention was focused to prediction of breakdown voltage Up. This voltage is derived from the input values Ba - activation energy of polarization process, Bv - activation energy of conductance process and Uk - critical voltage parameter. The process of prediction consists in learning of Sugeno fuzzy model with training data set (measured in laboratory) and then by the help of this learned Sugeno fuzzy model we have determined breakdown voltage Up from unknown data set (measured in real electrical rotary machine). Our task was to determine, which of Sugeno fuzzy model parameters has most important effect for breakdown voltage Up prediction. Simulations are realized in MATLAB - Fuzzy Logic Toolbox environment.

BibTex


@inproceedings{BUT18372,
  author="Miloš {Hammer} and Radek {Szabó} and Jiří {Svoboda}",
  title="INFLUENCE OF THE FUZZY MODEL SUGENO PARAMETERS FOR PREDICTION OF THE LIFETIME OF RELANEX INSULATING MATERIAL",
  annote="The contribution deals with the lifetime prediction of Relanex insulating material by the help of Sugeno fuzzy model. Our attention was focused to prediction of breakdown voltage Up. This voltage is derived from the input values Ba - activation energy of polarization process, Bv - activation energy of conductance process and Uk - critical voltage parameter. The process of prediction consists in learning of Sugeno fuzzy model with training data set (measured in laboratory) and then by the help of this learned Sugeno fuzzy model we have determined breakdown voltage Up from unknown data set (measured in real electrical rotary machine). Our task was to determine, which of Sugeno fuzzy model parameters has most important effect for breakdown voltage Up prediction. Simulations are realized in MATLAB - Fuzzy Logic Toolbox environment.",
  address="CAMERA grafična priprava d.o. o.",
  booktitle="ICIT 2005",
  chapter="18372",
  howpublished="print",
  institution="CAMERA grafična priprava d.o. o.",
  year="2005",
  month="april",
  pages="321--324",
  publisher="CAMERA grafična priprava d.o. o.",
  type="conference paper"
}