Dynamically Reconfigurable Data Architectures for Aircraft Data Analysis and Anomaly Detection

Phase II.5 proposal, extension of Phase II contract N00014-10-C-0255. Data collection and management of operational aircraft data is a critical enabler of effective condition based maintenance (CBM+). However, the large volumes of data collected create accessibility problems that limit the usefulness of the data. Using a relational database to store time series data results in a solution that is unnecessarily large and slow. Advanced methods of processing large quantities of data are needed to accomplish CBM+.ADAAD is a high performance time series database which allows full resolution data to be kept online and accessible. ADAAD has an intuitive graphical user interface and open architecture programming interfaces, with the ability to handle large volumes of time series data. Customer results have demonstrated a 20 times database size reduction and 200 times increase in query speed when compared with leading databases.