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Predictive maintenance and performance optimisation in aircrafts using data analytics

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dc.contributor.author Weerasinghe, S
dc.contributor.author Ahangama, S
dc.contributor.editor Wijesiriwardana, CP
dc.date.accessioned 2022-12-05T05:57:06Z
dc.date.available 2022-12-05T05:57:06Z
dc.date.issued 2018
dc.identifier.citation S. Weerasinghe and S. Ahangama, "Predictive Maintenance and Performance Optimisation in Aircrafts using Data Analytics," 2018 3rd International Conference on Information Technology Research (ICITR), 2018, pp. 1-8, doi: 10.1109/ICITR.2018.8736157. en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19657
dc.description.abstract Airline industry has provided a significantly conventional, faster and reliable mode of transportation for passengers and freight over the decades in which the industry has been in service despite the pressure being applied especially in maintaining operational affordability. The study critically reviews the techniques and tools, infrastructure and general application architecture for discussing the applicability of data analytics based on both batch processing and real time stream data in general aviation for health monitoring and predictive analysis in order to predict maintenance and optimize the performance of aircrafts. In this respect, the study further evaluates the significant capability in addressing contemporary problems which are uniquely addressed by data analytics system. en_US
dc.language.iso en en_US
dc.publisher Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa, Sri Lanka en_US
dc.relation.uri https://ieeexplore.ieee.org/document/8736157 en_US
dc.subject Performance optimisation en_US
dc.subject Predictive maintenance en_US
dc.subject Big aviation data en_US
dc.subject Data analytics en_US
dc.subject Health management en_US
dc.title Predictive maintenance and performance optimisation in aircrafts using data analytics en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty IT en_US
dc.identifier.department Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. en_US
dc.identifier.year 2018 en_US
dc.identifier.conference 3rd International Conference on Information Technology Research 2018 en_US
dc.identifier.proceeding Proceedings of the 3rd International Conference in Information Technology Research 2018 en_US
dc.identifier.email shakthi.14@itfac.mrt.ac.lk en_US
dc.identifier.email supunmali@uom.lk en_US
dc.identifier.doi doi: 10.1109/ICITR.2018.8736157 en_US


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  • ICITR - 2018 [34]
    International Conference on Information Technology Research (ICITR)

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