System for Naval Data Aggregation and Planning with Probabilistic Reasoning (SNAPPR)
SNAPPR creates probabilistic models of Naval system components, the environment in which they operate, and the missions that they serve, to help operators understand the Operational Availability (Ao) of hardware components onboard a Naval vessel. We have partnered with Raytheon IDS for the three-year SNAPPR follow-on contract, which is valued at nearly $1.5 million.
“Current Ao hardware protocols can result in unnecessary maintenance, causing crippling delays in mission-critical functions. SNAPPR’s probabilistic model produces real-time reasoning, estimates, and predictions of Ao to generate an optimized preventative maintenance schedule.”
Scientist on the SNAPPR effort
“AO is crucial to a mission’s success,” said Kenny Lu, Scientist at Charles River Analytics and Technical Lead on our SNAPPR effort.
SNAPPR furthers our growing portfolio of efforts in predictive health maintenance. Under the EMC2 and POWERED efforts, we used probabilistic programming to help predict resource gaps and faults in military operations systems. These efforts are powered by Figaro™, our open-source, probabilistic programming language for probabilistic modeling.
This material is based upon work supported by the Office of Naval Research under Contract No. N68335-19C-0116. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Office of Naval Research. Statement A: Approved for Release. Distribution is unlimited.