Open Access Journal of Engineering Applications
e-ISSN 3105-7004  ยท  HafizLab

Support Vector Machines for Wind Turbine Generator Faults

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1. Introduction

Uncertainty surrounding wind turbine generator faults complicates investment decisions in cement production. The performance of support vector machines was evaluated using standard error metrics and cross-validation. Yield increased by 33% while feedstock consumption remained essentially unchanged. The outcomes point to clear priorities for further experimental and field investigation.

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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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