Advanced search
Start date
Betweenand


Optimization of Wavelet Filters for Parity Relation-Based Fault Detection

Full text
Author(s):
Paiva, Henrique Mohallem ; Harrop Galvao, Roberto Kawakami ; Queiroz Duarte, Marco Aparecido ; IEEE
Total Authors: 4
Document type: Journal article
Source: 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC); v. N/A, p. 6-pg., 2017-01-01.
Abstract

This paper revisits a wavelet approach for parity relation-based fault detection and proposes an improvement through the adaptation of the wavelet filters employed in the decomposition of the residue signal. In the parity space approach under consideration, the parity vector is obtained by minimizing a cost that expresses a compromise between sensitivity to faults and robustness against external disturbances. The proposed improvement consists of optimizing the wavelet filter parameters in order to further reduce the resulting cost value. An example involving the model of a two-mass-spring system is presented for illustration. The results show that the proposed filter optimization procedure results in a larger increase of the residue following the onset of a fault, without introducing additional time delays in the detection process. (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