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.


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    Title :

    Predictive Maintenance and Performance Optimisation in Aircrafts using Data Analytics


    Contributors:


    Publication date :

    2018-12-01


    Size :

    588389 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





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