A failure detection and isolation algorithm for a decentralised multisensor system

Author

Fernandez, M. ; Durrant-Whyte, H.F.

Author_Institution

Dept. of Eng. Sci., Oxford Univ., UK

fYear

1994

fDate

2-5 Oct 1994

Firstpage

27

Lastpage

33

Abstract

This paper describes an algorithm for detecting and isolating failures and its application on a multisensor decentralized system. We consider decentralized systems as a network of local processors where communication is performed only between neighbouring nodes. Local observations are taken by each node, and using the information form of the Kalman filter, local information contributions are calculated. These are then communicated and a global estimate is computed. The failure and isolation technique described in this paper is based on the use of multiple models, which describe the changes on the system dynamics when a failure is produced

Keywords

Kalman filters; fault diagnosis; multivariable systems; sensor fusion; Kalman filter; data fusion; decentralised multisensor system; failure detection; failure isolation; global estimate; local information contributions; local observations; local processors network; multiple models; system dynamics; Bandwidth; Change detection algorithms; Large-scale systems; Multisensor systems; Network topology; Parameter estimation; Recursive estimation; Sensor fusion; Sensor phenomena and characterization; Sensor systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Multisensor Fusion and Integration for Intelligent Systems, 1994. IEEE International Conference on MFI '94.

Conference_Location

Las Vegas, NV

Print_ISBN

0-7803-2072-7

Type

conf

DOI

10.1109/MFI.1994.398476

Filename

398476