ANALYSIS DATA SETS USING HYBRID TECHNIQUES APPLIED ARTIFICIAL INTELLIGENCE BASED PRODUCTION SYSTEMS INTEGRATED DESIGN

摘要

The paper proposes a prediction model of behavior spindle from the point ofview of the thermal deformations and the level of the vibrations by highlighting andprocessing the characteristic equations. This is a model analysis for the shaft with similarelectro-mechanical characteristics can be achieved using a hybrid analysis based onartificial intelligence (genetic algorithms - artificial neural networks - fuzzy logic). Thepaper presents a prediction mode obtaining valid range of values for spindles withsimilar characteristics based on measured data sets from a few spindles test withoutadditional measures being required. Extracting polynomial functions of graphs resultingfrom simultaneous measurements and predict the dynamics of the two features with multiobjective criterion is the main advantage of this method.