April 29, 2016 – Emphysic is pleased to announce it has been selected by NASA as an awardee of a Phase I Small Business Innovation Research (SBIR) grant totaling $125,000 for the development of a distributed fault-tolerant data reduction framework for Nondestructive Evaluation (NDE) data.
Advances in NDE techniques in recent years have combined with massive reductions in storage costs and ever-increasing processing power to create a situation shared with many other industries in the 21st century: Big Data. The situation is both an opportunity and a problem: more data than ever before is available on the condition of space flight structures and components, yet the sheer volume of data makes the analysis process daunting. A means of data reduction-Automatic Big Data Analysis-can help glean information from these data.
The software application is designed to “ingest” NDE data from disparate file formats and concurrently scan the data for anomalies that may be indicative of a defect or flaw in a structure. Large NDE datasets are mapped to thousands to millions of parallel, independent processes running on a mobile device, standard computer, or a networked cluster of machines. Each process scans a subset of the data for flaws and as independent entities are unaffected by errors in fellow processes or system failures. If a process fails, only its work is lost as the system continues to process the data; the work lost is immediately picked up by another process. The results of the parallel analyses are compiled back to the original dataset with structural flaw indicators. Phase I efforts are devoted to designing the framework and providing a proof of concept prototype able to automatically detect defects in NDE data.