DocumentCode :
2440463
Title :
SIPS, A Structural Integrity Prognosis System
Author :
Papazian, John M. ; Anagnostou, Elias L. ; Engel, Stephen ; Fridline, Daniel ; Hoitsma, David ; Madsen, John ; Nardiello, Jerrell ; Silberstein, Robert P. ; Welsh, Greg ; Whiteside, James B.
Author_Institution :
Northrop Grumman Integrated Syst., Bethpage
fYear :
2007
fDate :
3-10 March 2007
Firstpage :
1
Lastpage :
10
Abstract :
The Structural Integrity Prognosis System (SIPS) is being designed to provide prompt, informed predictions of the structural viability of individual assets based on tracking of their actual use and modeling of anticipated usage. The prognosis system is founded on a collaboration between sensor systems, advanced reasoning methods for data fusion and signal interpretation, and modeling and simulation systems. The modeling approach is based on the physical mechanisms of corrosion and fatigue damage. This paper will present an overview of the system and present recent results of laboratory testing of fatigue coupons that were representative of a typical aircraft lower wing structure. During the tests, several novel sensor systems were used to detect and quantify fatigue damage. The sensor output was combined with results from several models of fatigue damage. The models were based on the microstructural origins of fatigue, and included statistical distributions of important microstructural parameters. The models and the sensor data were combined in a prognosis system, and used to predict the outcome of the fatigue tests.. Uncertainty in the sensor data and uncertainty in the various models and their microstructural inputs was explicitly dealt with in the prognosis system. The predictions were compared to post-mortem analysis of cracking in the broken samples.
Keywords :
aerospace components; aircraft maintenance; aircraft testing; condition monitoring; fatigue testing; sensors; SIPS; aircraft; fatigue coupons; fatigue damage; laboratory testing; sensor data; sensor systems; structural integrity prognosis system; Aircraft; Collaboration; Corrosion; Fatigue; Laboratories; Predictive models; Sensor systems; Statistical distributions; System testing; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2007 IEEE
Conference_Location :
Big Sky, MT
ISSN :
1095-323X
Print_ISBN :
1-4244-0524-6
Electronic_ISBN :
1095-323X
Type :
conf
DOI :
10.1109/AERO.2007.352907
Filename :
4161664
Link To Document :
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