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

Author(s)

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

• Document type: Journal article
• Source: 2020 28TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED); v. N/A, p. 6-pg., 2020-01-01.

Abstract

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)

• FAPESP's process: 11/17610-0 - Monitoring and control of dynamic systems subject to faults
• Grantee: Roberto Kawakami Harrop Galvão
• Support Opportunities: Research Projects - Thematic Grants