DocumentCode :
1855863
Title :
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
Link To Document :
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