Design, Implementation, and Utilization of a Common Data Model for Vehicle Health Management

Aircraft have multiple disparate data sources associated with maintaining vehicle health. Storing and retrieving data for correlation, trending, and analysis from these data sources is inefficient and expensive. To enable efficient data retrieval and storage, we have implemented an innovative software system based on a common data model that is independent of the data type or vehicle platform. We show that it is possible to integrate data from multiple aircraft platforms using a single data model to facilitate data interoperability and enable cross-platform application development.