Data Clustering: Modelling and Simulation

1. Introduction

A clear understanding of data clustering is a prerequisite for the safe and economical expansion of induction motor drives. Measurements taken from instrumented induction motor drives provided the basis for validating the analysis. Variation in data clustering between the individual samples remained below 45%, indicating good experimental repeatability. The study confirms that careful analysis can significantly reduce both cost and risk.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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