2008c, "Conditioned-Based Maintenance at USC - Part III: Aircraft Components Mapping and Testing for CBM

The University of South Carolina is currently implementing the procedure presented in the publication “Integration of Maintenance Management Systems and Health Monitoring Systems through Historical Data Investigation. ” This particular application is attempting to merge TAMMS-A records with data collected from Intelligent Automation Corporation’s Vibration Management Unit (VMU), both in use by the South Carolina Army National Guard. To date, the University has been successful in the development of a single relational database from which further analysis can be done. Primary linguistic characteristics of TAMMS-A faults were determined and show a high possibility for successful implementation of natural language processing. Descriptions of the relational schema used for generic HUMS importation is also discussed. Future work will focus on the development of the natural language processor and HUMS metadata tagging. This study concludes possible improvements in CBM implementation include language standardization by maintenance crews and open-format data storage for HUMS data