Charles River Analytics is using machine learning to develop tools for monitoring and analyzing signals intelligence systems data to identify critical system faults under a U.S. Navy-funded program.
CRA said Tuesday the Distributed Analysis Tool for Enterprise Monitoring platform monitors and analyzes the condition of software or hardware systems and sends the results in human-readable formats and recommends mitigation measures.
The first development under the DATEM program is a fault localization capability, dubbed Cable Calibration Tool, that identifies faults in the Ship’s Signal Exploitation Equipment signal chain. The CCT has been proven to work with a 91 percent rate of detection and is now used by the Navy.
CRA engineers are developing another DATEM capability called the Rapid Analysis Dashboard, which will provide a unified view of data from various Navy sources to enable rapid analysis of supply and demand for parts.
The Navy has invested a total of approximately $2.4 million in DATEM for the past six years.
