Imbalance classification in a scaled-down wind turbine using radial basis function kernel and support vector machines

Tiago de Oliveira Nogueira, Gilderlânio Barbosa Alves Palacio, Fabrício Damasceno Braga, Pedro Paulo Nunes Maia, Elineudo Pinho de Moura, Carla Freitas de Andrade and Paulo Alexandre Costa Rocha

Energy, 2022, vol. 238, issue PC

Abstract: This work innovates by proposing the combination of DFA with the SVM and RBFK methods, two supervised algorithms that use the kernel-method, for the imbalance level classification in a scaled-down wind turbine. The results obtained were compared with other techniques proposed in previous works.

Keywords: Machine learning classification; Vibration analysis; Support vector machine; Radial basis function kernel (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:238:y:2022:i:pc:s0360544221023124

DOI: 10.1016/j.energy.2021.122064

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