Big data application for analysis of flight test data
作者： Afshan Banu , R Sangeetha , Manju Nanda
DOI: 10.1109/ICRAAE.2017.8297209
关键词:
摘要: The analysis of huge data, represent a big interest, obtained from thousands sensors, flight test and bench data. Manual these is not possible. Data read the history database, focusing on to miss interesting information for Health Monitoring Management flight. This paper developing workflow using data techniques in determining be used health monitoring system which could increase manufacturing, maintenance, operational efficiency, mission performance, safety enhancements present future aerospace systems. As transient can use solve problem, Artificial Neural Networks would identify classify patterns. work proposes develop methodology Flight Management. proposed trains tests Network by number measurements each new record are automatically classified developed Network. By storing all collected patterns distributed database (Hadoop), we predict aircraft behavior components prevent events before happening, leading good maintenance components.
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