Paper Title :Condition Based Maintenance Using Artificial Intelligence For Structural Health Monitoring In Aviation Industry
Author :Raghunathan Abhilash, Mahesh M Sucheendran
Article Citation :Raghunathan Abhilash ,Mahesh M Sucheendran ,
(2015 ) " Condition Based Maintenance Using Artificial Intelligence For Structural Health Monitoring In Aviation Industry " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 25-28,
Volume-3, Issue-10
Abstract : This paper does a study on using structural health monitoring for condition based maintenance in aviation
industry. Also, use of latest innovative advancements in Artificial Intelligence has been explained in this paper for
dovetailing in the aviation sector. The Indian Air Force being the fourth largest Air force in the world has a large number of
assets that is non indigenous. These highly expensive military aircraft, missiles, early warning systems, aerostats etc are
susceptible to failure over a long run of operation or storage. Unfortunately we generally come to know about damage only
after it has reached a significant level after which we are forced to further purchase spares or go for expensive refits. Either
way, the optimum option of having early damage detection and to get the rectifications done under warranty period itself is
not being implemented. In this scenario, the necessity of implementing structural health monitoring systems for the purpose
of damage detection is quintessential. The results to a large extent need human interpretation for effective cost saving and to
ensure condition based maintenance rather than schedule based maintenance. With the present pattern recognition systems
that have been developed, it will be feasible to have an artificial intelligence program to scan through the large amount of
data generated and give predicted results on impending failures.
Keywords- Structural Health Monitoring, Condition Based Maintenance, Defect Investigation, Artificial Intelligence
Type : Research paper
Published : Volume-3, Issue-10
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-3089
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Copyright: © Institute of Research and Journals
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Published on 2015-10-13 |
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