Development of a sensor-based learning approach to prognostics in intelligent vehicle health monitoring

Author

Cole, Ivan S. ; Corrigan, Penny A. ; Ganther, Wayne ; Ho, Tim ; Lewis, Chris J. ; Muster, Tim H. ; Paterson, David ; Price, Don C. ; Scott, D.A. ; Followell, David ; Galea, Steve ; Hinton, Bruce

Author_Institution

CSIRO Mater. Sci. & Eng., Clayton, VIC

fYear

2008

fDate

6-9 Oct. 2008

Firstpage

1

Lastpage

7

Abstract

This paper reports the development and testing of an intelligent sensing network for monitoring corrosion of aircraft structures. The agent-based system uses sensed microclimate and corrosion data with an innovative analysis approach to diagnose corrosion and to infer the presence of corrosion in locations such as crevices and fasteners where it cannot be sensed directly. An important feature of the system is its ability to provide prognostic information to enable timely corrective maintenance scheduling.

Keywords

aircraft; condition monitoring; corrosion; learning (artificial intelligence); maintenance engineering; structural engineering computing; agent-based system; aircraft structures; corrective maintenance scheduling; innovative analysis approach; intelligent sensing network; intelligent vehicle health monitoring; monitoring corrosion; prognostic information; sensor-based learning approach; Aircraft; Atmospheric modeling; Corrosion; Fasteners; Intelligent networks; Intelligent sensors; Intelligent structures; Intelligent vehicles; Monitoring; Sensor systems; Corrosion; damage prognosis; learning systems; structural health monitoring;

fLanguage

English

Publisher

ieee

Conference_Titel

Prognostics and Health Management, 2008. PHM 2008. International Conference on

Conference_Location

Denver, CO

Print_ISBN

978-1-4244-1935-7

Electronic_ISBN

978-1-4244-1936-4

Type

conf

DOI

10.1109/PHM.2008.4711441

Filename

4711441