Luna Innovations Incorporated (Luna) has developed a framework to design, test and deploy condition monitoring computational processes that track the health of shipboard equipment. Signal processing and modeling techniques are robust, efficient and tailored to conserve energy when run on battery-powered sensor nodes like Luna’s condition-based maintenance hardware. This allows nodes to operate as edge computing resources that diagnose faults locally, report relevant damage features or transmit entire data histories for higher fidelity models that operate on shipboard computers to verify predictions and reduce risk. Performance has been demonstrated for the Navy through relevant environment testing, using both industrial and submarine-grade equipment in partnership with the original equipment manufacturer of hydraulic systems. The ultimate goal is to inform maintenance practices and lower total ownership costs.