Meta-Data Mining for Optimized Aircraft Repair and Overhaul

Period of Performance: 10/24/2014 - 06/25/2016


Phase 2 SBIR

Recipient Firm

Analatom, Inc.
3210 Scott Blvd.
Santa Clara, CA 95054
Principal Investigator

Research Topics


ABSTRACT: Analatom proposes to develop, implement, and demonstrate a text/narrative query and maintenance-tracking retrieval system supporting the C-5 enhanced Individual Aircraft Tracking (IAT) program. Analatom will utilize expertise in development of advanced software modeling tools for data mining, maintenance support, and structural health monitoring prognostics. During Phase I, Analatom developed new modeling, optimization tools, and algorithms concepts providing database search and correlations to facilitate intelligent decision-making processes for maintenance, repair, and overhaul work practices and schedules. Ultimately, such a support tool will act upon current databases, meta-data, and repair practices to arrive at considerable personnel, parts, and other resources savings and shorter repair time horizons within the maintenance, repair, and overhaul (MRO) environment. An aircraft maintenance and repair work scope optimizer, as a decision support tool, will utilize dynamic and meta-data information to provide the repair work force with a daily work package that accommodates contingencies via dynamic re-planning. This decision support tool will facilitate data discovery by query and retrieval methods and enables optimization tools to strengthen weapon systems Aircraft Structural Integrity Program (ASIP) operational safety suitability and effectiveness (OSS&E). BENEFIT: Such a tool would have high value for data mining and maintenance scheduling of high value commercial items such as aircraft, bridges, vehicles, ships and buildings.