Feed-forward observer-based intermittent fault detection

Date

2017-09-17

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Department

Type

Article

ISSN

1755-5817

Format

Free to read from

Citation

T. Sedighi, P.D. Foote, P. Sydor, Feed-forward observer-based intermittent fault detection, CIRP Journal of Manufacturing Science and Technology, Volume 17, May 2017, Pages 10-17

Abstract

This paper provided an approach to design feed-forward observer for nonlinear systems with Lipchitz nonlinearity and bounded unknown inputs (disturbances/uncertainties) to ensure the sensitivity against intermittent faults. The proposed observer design guarantees the system error stability. Some variables and scalars are also introduced to design observer's parameters, which bring more degrees of flexibility available to the designer. The designed observer is used to propose a precision fault detection scheme including adaptive threshold design to detect intermittent faults. The efficiency of the considered approach is examined by the intermittent failure case in the suspension system of a vehicle. Simulation results show that the accurate state estimation and fault detection are achieved successfully.

Description

Software Description

Software Language

Github

Keywords

Feed-forward observer, Error stability analysis, Intermittent fault detection, Adaptive threshold design, Mass-spring-damper system

DOI

Rights

Attribution 4.0 International

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