Intelligent Self-Diagnosis in Ship Systems: Charles River Analytics Develops Advanced, Probabilistic Reasoning for System Components Onboard US Naval Vessels

Image of soldiers on navy vessel.

Charles River Analytics Inc., developer of intelligent systems solutions, has received additional funding from the US Navy to build a 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.

“AO is crucial to a mission’s success,” said Kenny Lu, Scientist at Charles River Analytics and Technical Lead on our SNAPPR effort. “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.”

US Navy Petty Officer 3rd Class Donald Feltman acts as the system operator onboard a vessel. Our SNAPPR effort creates a probabilistic model of Naval system components to help operators understand the Operational Availability of onboard hardware components. (Photo by: Navy Petty Officer 2nd Class James R. Turner.)

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.

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