Fault detection in a 3-DOF laboratory helicopter using wavelet packets and subspace identification in frequency subbands

Autor(es)

Paiva, Henrique Mohallem ; de Oliveira, Igor Luppi ; Garcia, Gabriele Fernandes ; IEEE

• Tipo de documento: Artigo Científico
• Fonte: 2020 28TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED); v. N/A, p. 6-pg., 2020-01-01.

Resumo

This paper proposes a wavelet-packet approach for fault detection using subspace identification. The wavelet-packet decomposition tree is used to define the frequency subbands at which the plant models are created. The best decomposition tree is chosen by using a dynamic programming algorithm that achieves a trade-off between accuracy and parsimony. A recently published framework is adopted to allow for the identification of subband models with a subspace approach. The proposed technique is validated with experimental data acquired with a Quanser (TM) 3-DOF laboratory helicopter and presents better results than those of a standard time-domain fault-detection technique. (AU)

• Processo FAPESP: 11/17610-0 - Monitoramento e controle de sistemas dinâmicos sujeitos a falhas
• Beneficiário: Roberto Kawakami Harrop Galvão
• Modalidade de apoio: Auxílio à Pesquisa - Temático