Abstract: SMA actuators and related methods are described. One embodiment of an actuator includes a base; a plurality of buckle arms; and at least a first shape memory alloy wire coupled with a pair of buckle arms of the plurality of buckle arms. Another embodiment of an actuator includes a base and at least one bimorph actuator including a shape memory alloy material. The bimorph actuator attached to the base.

Abstract: A computer-implemented method and system for controlling an aircraft based on detecting and mitigating fatiguing conditions and aircraft damage conditions is disclosed. According to one example, a computer-implemented method includes detecting, by a processing system, a health condition of a component of the aircraft. The method further includes determining, by the processing system, whether the health condition is one of a fatigue condition or a damage condition. The method further includes implementing, by the processing system, a first action based at least in part on determining that the health condition is a fatigue condition to mitigate the fatigue condition. The method further includes implementing, by the processing system, a second action based at least in part on determining that the health condition is a damage condition to mitigate the damage condition.

Abstract: A system, method, and computer-readable medium for performing a dynamic data index restructure operation. The dynamic data index restructure operation restructures the data indexes within a business intelligence architecture based on usage patterns so as to support queries most likely to be generated by users of the business intelligence architecture. In certain embodiments, the dynamic data index restructure operation is performed via a dynamic data index restructure agent which may be positioned between a business intelligence application and the business intelligence database.

Abstract: A computer-implemented method and system for controlling an aircraft based on detecting and mitigating fatiguing conditions and aircraft damage conditions is disclosed. According to one example, a computer-implemented method includes detecting, by a processing system, a health condition of a component of the aircraft. The method further includes determining, by the processing system, whether the health condition is one of a fatigue condition or a damage condition. The method further includes implementing, by the processing system, a first action based at least in part on determining that the health condition is a fatigue condition to mitigate the fatigue condition. The method further includes implementing, by the processing system, a second action based at least in part on determining that the health condition is a damage condition to mitigate the damage condition.

Abstract: A method of assessing airframe corrosion risk includes determining a component corrosion stress based on data from at least one of a corrosivity sensor, an aircraft exposure history, a climate database, or an aircraft configuration. The method includes generating a component corrosion risk based on the determined component corrosion stress. An accumulated component corrosion risk is calculated based on the component corrosion risk and a historical component corrosion risk. An airframe corrosion risk is determined based on the accumulated component corrosion risk.

Abstract: A computer-implemented method and system for controlling an aircraft based on detecting control element damage is disclosed. According to one example, a computer-implemented method includes detecting, by a processing system, damage to a control element of the aircraft. The method further includes characterizing, by the processing system, the damage to determine a corrective action to take based at least in part on the detected damage. The method further includes controlling, by the processing system, the aircraft based at least in part on the corrective action.

Abstract: Virtual sensors can be used to monitor the loads on the system in determining damage accumulation, remaining useful life or retirement time of the components. A virtual sensor is a mathematical construct to infer a desired system measurement (e.g. a structural load) from readily available system state parameters (e.g. speed, weight, load factors, control settings, etc.). The accuracy of the virtual sensor depends upon the mapping between the desired measurement and the state parameters. A hybrid load monitoring system and method includes one or more direct or physical sensor measurements in addition to the plurality of virtual sensors. Signals from the physical sensors are included as an input (as opposed to an output) to the mapping between system state parameters and the various target sensor feature amplitudes.

Abstract: A system, method, and computer program for detecting and isolating structural faults is provided. To detect and isolate structural faults, a plurality of sensed features that corresponds to sensor data from the monitoring sub-system and a plurality of estimated features that corresponds to the plurality of sensed features can be generated. Further, the plurality of sensed features and the plurality of estimated features can be compared to produce a plurality of residuals. From the plurality of residuals, at least one structural fault within the vehicle are determined and isolated for further use of maintenance decision support.

Abstract: A measuring system and method that computes and analyzes sensor data fused with multiple mechanical and thermally induced strain measurements is provided. Further, the measuring system and method realizes physics-based relations between sensor readings due to mechanical and thermal sources by optimally de-coupling a total strain into its mechanical and thermal components. The measuring system and method also auto-tunes coefficients involved in the optimal de-coupling equations using sensor specification data and previous system test results for initialization.

Abstract: A system and method for receiving a plurality of first inputs from a transducer, where the plurality of first inputs correspond to vibrations of a rotational machine, and filtering the plurality of first inputs to derive a frequency of interest. The system and method then generates a sinusoidal signal at the frequency of interest and a pulse train of one or multiple pulses per revolution at the frequency of interest from the sinusoidal signal. The system and method further identifies a first pulse at a zero crossing within the pulse train and counts zero crossings to define blocks of data for use in time synchronous averaging calculations.

Abstract: A method of health management of a monitored system includes collecting component condition indicator data used to calculate a plurality of component health indicators. Component fault severity and potential failure modes are determined utilizing the component condition indicator data. The potential failure modes are ranked in order of likelihood to isolate the failure mode. A system of health management for monitored apparatus includes a fault severity module to derive a plurality of component health indicators from collected component condition indicator data, the plurality of component health indicators indicative of fault severity of a plurality of components. A fault isolation module separately derives a ranked listing of potential fault/failure modes utilizing the component condition indicator data.

Abstract: A system and method for an application of a virtual load monitoring of an aircraft to determine a component retirement time for at least one component of the aircraft is provided. The system and method includes estimating component loads from aircraft state parameters; calculating load statistics from the component loads; calculating a reliability factor; generating a component design load spectrum by applying the reliability factor to the load statistics; and calculating the component retirement time for the at least one component of the aircraft by utilizing the component design load spectrum.

Abstract: A method of health monitoring and assessment of an aircraft structure includes collecting data from a plurality of sensors located at one or more components of the aircraft. The sensors assess a physical condition of the components and are arrayed in one or more aircraft zones. The data is communicated to a health assessment module, which calculates one or more component structural condition indicators of each component. The component structural condition indicators are compiled and one or more component structural health indicators are calculated. The component structural health indicators are compiled by aircraft zone and a zone structural health indicator is calculated based on the component structural health indicators of components residing in the particular aircraft zone. An aircraft level health indicator is calculated based on the zone structural health indicators and one or more maintenance actions are recommended based on the structural condition and health indicators.

Abstract: A method of drive system diagnostics of an aircraft includes capturing high load drivetrain component vibration data at select steady-state and/or high-load transient operating conditions of the aircraft and processing the captured vibration data to improve reliability and/or accuracy of captured vibration data. The processed vibration data is utilized to provide a health assessment of the drivetrain components and achieve earlier detection of incipient faults. A health monitoring system for drivetrain components of an aircraft includes a plurality of vibration sensors positioned at drivetrain components of an aircraft to capture drivetrain component vibration data at transient operating conditions of the aircraft. One or more processing modules process the captured vibration data to improve reliability and/or accuracy of the captured data, and a fault reasoning module calculates a health indicator of the drivetrain components.

Abstract: A fiber-optic sensor system includes a structure having a fiber-optic cable operatively connected thereto. The system includes a network controller with an interrogator operatively connected to the fiber-optic cable to receive optical energy indicative of a characteristic of the structure therefrom and convert optical energy to electrical energy and electrical energy to optical energy for data communication. A sensor and/or a data source are operatively connected to the fiber-optic cable through the network controller to transmit data through the fiber-optic cable and receive data therefrom.

Abstract: Embodiments are directed to obtaining data based on samples of a vibration signal, processing, by at least one processor, the data to obtain a qualitative and quantitative assessment of a health of the one or more components based on an application of the data to at least one model, and outputting the assessment. Embodiments of the disclosure may be applied to one or more components of a drive shaft of an aircraft.

Abstract: A system and method are provided to perform loads-based structural health monitoring (LBSHM) of a dynamical system. The method includes receiving, by at least one computer, sensing data responsive to sensing at least one of a parametrical state and a response of the dynamical system, and determining a Koopman mode and a Koopman eigenvalue. The Koopman mode represents a correlation between the sensor data output by the plurality of sensors. The Koopman eigenvalue represents a frequency component associated with the sensor data and growth or decay of energy associated with the sensor data. The method further includes generating, by the at least one computer, an estimation model to determine a linear estimation based on the Koopman mode and the Koopman eigenvalue that estimates a load response of the dynamical system based on growth or decay of energy associated with the sensor data.

Abstract: A fiber-optic sensor system includes a structure having a fiber-optic cable operatively connected thereto. The system includes a network controller with an interrogator operatively connected to the fiber-optic cable to receive optical energy indicative of a characteristic of the structure therefrom and convert optical energy to electrical energy and electrical energy to optical energy for data communication. A sensor and/or a data source are operatively connected to the fiber-optic cable through the network controller to transmit data through the fiber-optic cable and receive data therefrom.

Abstract: A system, method, and computer program for detecting and isolating structural faults is provided. To detect and isolate structural faults, a plurality of sensed features that corresponds to sensor data from the monitoring sub-system and a plurality of estimated features that corresponds to the plurality of sensed features can be generated. Further, the plurality of sensed features and the plurality of estimated features can be compared to produce a plurality of residuals. From the plurality of residuals, at least one structural fault within the vehicle are determined and isolated for further use of maintenance decision support.

Abstract: A method of assessing airframe corrosion risk includes determining a component corrosion stress based on data from at least one of a corrosivity sensor, an aircraft exposure history, a climate database, or an aircraft configuration. The method includes generating a component corrosion risk based on the determined component corrosion stress. An accumulated component corrosion risk is calculated based on the component corrosion risk and a historical component corrosion risk. An airframe corrosion risk is determined based on the accumulated component corrosion risk.