System for Naval data Aggregation and Prediction using Probabilistic Reasoning (SNAPPR)

Because naval operators are responsible for performing preventative maintenance and monitoring the operational availability (AO) of many vessel components within complex systems, there is a high risk of unnecessary or unwarranted maintenance of components, which can inflate costs and significantly delay deployments. Although each vessel emits copious amounts of data, this data is confined to isolated storage within each vessel and is only analyzed when sent to shore. A system that fuses these disparate data sources to monitor and predict each component’s operational probability (PO) in real time can provide a comprehensive picture of system-wide health and status. To address these challenges, we propose to design a System for Naval data Aggregation and Planning with Probabilistic Reasoning (SNAPPR). SNAPPR uses a mature real-time data aggregation framework that fuses and reasons about data using robust probabilistic models to monitor and predict PO while also predicting future uptime.