ANALYSIS DATA SETS USING HYBRID TECHNIQUES APPLIED ARTIFICIAL INTELLIGENCE BASED PRODUCTION SYSTEMS INTEGRATED DESIGN
The paper proposes a prediction model of behavior spindle from the point of view of the thermal deformations and the level of the vibrations by highlighting and processing the characteristic equations. This is a model analysis for the shaft with similar electro-mechanical characteristics can be achi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Editura Academiei Oamenilor de Știință din România
2017-06-01
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| Series: | Annals: Series on engineering sciences (Academy of Romanian Scientists) |
| Subjects: | |
| Online Access: | http://aos.ro/wp-content/anale/TVol9Nr1Art.6.pdf |
| Summary: | The paper proposes a prediction model of behavior spindle from the point of view of the thermal deformations and the level of the vibrations by highlighting and processing the characteristic equations. This is a model analysis for the shaft with similar electro-mechanical characteristics can be achieved using a hybrid analysis based on artificial intelligence (genetic algorithms - artificial neural networks - fuzzy logic). The paper presents a prediction mode obtaining valid range of values for spindles with similar characteristics based on measured data sets from a few spindles test without additional measures being required. Extracting polynomial functions of graphs resulting from simultaneous measurements and predict the dynamics of the two features with multi-objective criterion is the main advantage of this method. |
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| ISSN: | 2066-6950 2066-8570 |