Autonomous Monitoring and Assessment of Sensor Data in Support of Calibration and CBM

Impact Technologies, in cooperation with Northrop Grumman Ship Systems, propose to develop and demonstrate a comprehensive sensor health assessment software product that is capable of detecting sensor faults and isolating corrupt data acquired from critical ship systems. The proposed concept is innovative in the fact that it is based on a data-driven modeling methodology, which has generic application to both high and low bandwidth signals, and is capable of detecting subtle changes in signals resulting from calibration or sensor drift issues. In addition, based on the fact that the approach is highly scalable (not limited to the number of sensors), it can be applied across any ship system and readily support the condition-based maintenance (CBM) and mission readiness philosophies expressed in the DD(X) program. The signal health software modules, will not only be capable of real-time sensor fault detection (wired or wireless), but it can also recover from the sensor faults using the signal's predicted value until the sensor is repaired or replaced. This will allow the ship systems being monitored to continue to operate as normal without the need for abrupt maintenance actions that are costly to mission readiness and effective operations. Finally, the signal monitoring modules will operate in both transient and steady-state modes and will be implemented within an open-systems, modular software architecture suitable for any 3rd party system integration. Well-documented, dynamic link library (DLL) modules will be tested on selected NG systems relevant to DD(X) and delivered during Phase I for assessment into existing modular architectures such as the Navy's ICAS.