Complex Process Visualization through Continuous Feature Maps Using Radial Basis Functions

Authors:
Ignacio Díaz Blanco;Alberto B. Diez González;Abel A. Cuadrado Vega
Affiliations:
-;-;-
Venue:
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Year:
2001

Citing 7
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Abstract

In this paper we propose a method for complex process visualization using a continuous mapping from the space of measurements or features of the process onto a continuous visualization space. To construct this mapping we suggest a continuous extension of the self organizing map using a kernel regression approach. We also describe a method for continuous condition monitoring based on the proposed continous mapping. We finally illustrate the proposed method with experimental data from an induction motor working in different fault conditions.