Test Data Aggregation and Analytical System (TDAAS) Prototype V2

ABSTRACT: This project utilizes existing SBIR technologies developed by RJ Lee Group (RJLG) for AFRL and AFMC that were expanded to provide a Big Data prototype capability at Arnold Engineering Development Center (AEDC). This project will enhance and extend the Test Data Aggregation and Analytical System (TDAAS) version 1 prototype within Technology Readiness Level 6 (TRL6 - system/subsystem model or prototype demonstration in a relevant environment) providing AEDC an operational prototype version 2 TDAAS system. This project addresses AEDC"s need for data integration and knowledge discovery of Department of Defense (DoD) weapons system engine and flight test data at AEDC. TDAAS will provide test personnel and facility engineers with improved searching and data correlation capability to better identify and discover knowledge about turbine engine propulsion and flight testing (performance or aerodynamics assessment) and anomaly detection (test article or infrastructure). From this data, engine and flight stakeholders will be able to make assessments related to specific component behavior within the systems and comparisons of the data with other system tests for which records exist. BENEFIT: The expected benefits include accelerating and improving timeliness and thoroughness of test and evaluation outcomes at AEDC. The ability to quickly and efficiently provide insightful analysis at all stages of an engine and flight acquisition program will reduce risk while eliminating waste and unnecessary costs (re-engineering). This will contribute to the USAF and DoD"s longer-term goal to generate greater efficiencies and capabilities. While TDAAS will first be deployed for engine and flight test data, the capabilities themselves are not envisioned to be system or platform specific. The solution envisioned beyond this transition could thus be adapted to address data integration and knowledge discovery in other DoD or RDT & E applications.