Abstract: Systems, methods and devices are provided that allow more efficient transfer and processing of sensor information in a hierarchical data system. The system provides for a plurality of component area managers (CAM), each of the CAMS being in operable communication with at least one of a plurality of transducers that monitors a phenomena of a component and in operable communication with a data bus. A CAM comprises a processor in operable communication with the at least one transducer of the plurality of transducers, wherein the first processor is configured to record data generated by the at least one transducer of the plurality of transducers, to reduce the recorded data, to place the reduced data on the data bus.

Abstract: Methods and apparatus are provided for analyzing a complex system that includes a number of subsystems. Each subsystem comprises at least one sensor designed to generate sensor data. Sensor data from at least one of the sensors is processed to generate binary evidence of a sensed event, and complex evidence of a sensed event. The complex evidence has more sophisticated mathematical properties than the binary evidence. The complex evidence comprises one or more of: a condition indicator (CI), a health indicator (HI), and a prognostic indicator (PI). A system fault model (SFM) is provided that defines statistical relationships between binary evidence, complex evidence, and an underlying failure mode (FM) that is occurring in the complex system. The binary evidence and the complex evidence are processed to identify failure modes taking place within one or more of the subsystems.

Abstract: A non-contact motion sensor comprising a radar detector that includes a first antenna, a second antenna that is orthogonal to the first antenna and a third antenna that is orthogonal to the first antenna and the second antenna. The non-contact motion sensor further includes a control that collects and analyzes signals that are received from the radar detector.

Abstract: A non-contact motion sensor comprising a radar detector that includes a first antenna, a second antenna that is orthogonal to the first antenna and a third antenna that is orthogonal to the first antenna and the second antenna. The non-contact motion sensor further includes a control that collects and analyzes signals that are received from the radar detector.

Abstract: Methods and apparatus are provided for analyzing a complex system that includes a number of subsystems. Each subsystem comprises at least one sensor designed to generate sensor data. Sensor data from at least one of the sensors is processed to generate binary evidence of a sensed event, and complex evidence of a sensed event. The complex evidence has more sophisticated mathematical properties than the binary evidence. The complex evidence comprises one or more of: a condition indicator (CI), a health indicator (HI), and a prognostic indicator (PI). A system fault model (SFM) is provided that defines statistical relationships between binary evidence, complex evidence, and an underlying failure mode (FM) that is occurring in the complex system. The binary evidence and the complex evidence are processed to identify failure modes taking place within one or more of the subsystems.

Abstract: A system and method are provided for planning and controlling a plurality of machines. A mission is assigned to each machine of the plurality of machines. A plurality of system capabilities is computed in each machine and, from the plurality of computed system capabilities, a machine mission capability is computed for each machine. The mission of one or more of the machines may be selectively reassigned based on the computed machine mission capability of each machine.

Abstract: A system for monitoring the health of a component includes a memory configured to store a health management system for evaluating the health of the component. The health management system includes a first prognostic module, a first diagnostic module, a first failure mode module, and a first functional module. A processor is coupled to the memory and configured to retrieve the health management system from the memory; receive a first prognostic indicator associated with the health of the component; determine a first predicted diagnostic indicator based on the prognostic indicator with the prognostic module; determine a first failure mode probability based on the first predicted diagnostic indicator with the diagnostic module; determine a first failure mode vector based on the first failure mode probability with the failure mode module; and generate a first functional output based on the first failure mode vector with the first functional mode module.

Abstract: Systems, methods and devices are provided that allow more efficient transfer and processing of sensor information in a hierarchical data system. The system provides for a plurality of component area managers (CAM), each of the CAMS being in operable communication with at least one of a plurality of transducers that monitors a phenomena of a component and in operable communication with a data bus. A CAM comprises a processor in operable communication with the at least one transducer of the plurality of transducers, wherein the first processor is configured to record data generated by the at least one transducer of the plurality of transducers, to reduce the recorded data, to place the reduced data on the data bus.

Abstract: A system and method are provided for the determining of the potential effect(s) that a degraded system, subsystem, or component may have on the overall capabilities of a vehicle or other system, and any mitigating actions that may need to be taken. Mission-related capabilities of the system are decomposed into a plurality of lower-level capabilities that have an impact on the mission-related capabilities. One or more faults that have an impact on at least one of the lower-level capabilities are mapped to appropriate lower-level capabilities. The lower-level capabilities to which the one or more vehicle faults is mapped are computed, and values of the mission-related capabilities are computed from each of the lower-level capabilities.