Computer Science – Neural and Evolutionary Computing
Scientific paper
2010-01-21
International Conference Team Tech pp 42, 2008
Computer Science
Neural and Evolutionary Computing
7 pages, 6 figures
Scientific paper
This paper reviews application of Artificial Neural Networks in Aircraft Maintenance, Repair and Overhaul (MRO). MRO solutions are designed to facilitate the authoring and delivery of maintenance and repair information to the line maintenance technicians who need to improve aircraft repair turn around time, optimize the efficiency and consistency of fleet maintenance and ensure regulatory compliance. The technical complexity of aircraft systems, especially in avionics, has increased to the point at which it poses a significant troubleshotting and repair challenge for MRO personnel. As per the existing scenario, the MRO systems in place are inefficient. In this paper, we propose the centralization and integration of the MRO database to increase its efficiency. Moreover the implementation of Artificial Neural Networks in this system can rid the system of many of its deficiencies. In order to make the system more efficient we propose to integrate all the modules so as to reduce the efficacy of repair.
Dudhwewala Rachit
Gopalakrishnan Nair T. R.
Gowda Vijay Bore
Jasani Devashish
Kapoor Kunal
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