Data Analytics Tool to Extract Useful Information from Large Datasets

The United States Air Force (USAF) through the SBIR topic AF221-0029 has expressed an interest in a user-friendly software suite that allows a user to quickly and efficiently extract insights from large experimental or simulation-based time-dependent datasets. Such a capability is crucial in compressing and accelerating the design cycle of military aircraft to meet rapidly emerging high-technology security threats. To address this need, Spectral Energies (SE) proposes to develop a suite of tools to perform on-the-fly (in situ) and post-processing of data, depending on the user’s need. The steps include data handling, operator-aware and data-driven decompositions, time-frequency, and physics-based analyses along with Artificial Intelligence (AI) approaches to provide the user with insight to ultimately aid in decision making. To accomplish this, SE will develop a proof-of-concept software solution in Phase I and a prototype/alpha version of the software in Phase II. It will distribute the software to a select USAF users for evaluation and will make efforts in the future to scale up the software to take advantage of the DoD’s high-performance computing (HPC).