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 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 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, method, and computer-readable medium for performing ambiguous utterances identification operations by extrapolating statements of the utterance using machine learning based linguistic analysis. More specifically, in certain embodiments, the ambiguous utterances identification operations are performed by generating an ambiguous utterance repository that is indexed by and contains individuals, regions, tweets, blogs, and latest trends. This ambiguous utterance repository is then linked to a lexicon engine that stores linguistic semantics for particular demographics. The ambiguous utterances identification operations also can capture the latest trends in ambiguous utterances occurring happening in certain demographics.

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 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 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 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 system, method, and computer-readable medium for performing ambiguous utterances identification operations by extrapolating statements of the utterance using machine learning based linguistic analysis. More specifically, in certain embodiments, the ambiguous utterances identification operations are performed by generating an ambiguous utterance repository that is indexed by and contains individuals, regions, tweets, blogs, and latest trends. This ambiguous utterance repository is then linked to a lexicon engine that stores linguistic semantics for particular demographics. The ambiguous utterances identification operations also can capture the latest trends in ambiguous utterances occurring happening in certain demographics.

Abstract: A system, method, and computer-readable medium are disclosed for performing distributed analytics using a metadata encoded decision engine. More specifically, the operation of performing distributed analytics combines metadata encoding of input expectations for models with a multi-tier decision engine. In certain embodiments, the multi-tier decision engine provides arbitrary responses to input failures, including data dropping, routing to additional models, signaling, data conditioning, and even updating of the model parameters themselves. The combination of the processing model, the data input validation, and the decision engine improves the operation of a distributed data processing environment which is focused on predictive and reactive analysis of edge processing data.

Abstract: A system, method, and computer-readable medium for performing a virtual organization operation for generating a virtual organization hierarchy that is based upon influence within an organization. More specifically, in certain embodiments, the operation generates a virtual organizational hierarchy that contains individuals, roles, contact information, responsibilities, estimates of purchasing authority, and other influential values. In certain embodiments, the virtual organization operation includes templates for virtual organizations of differing types to provide the capacity for handling differences in organizational structures like not-for-profits or educational establishments.

Abstract: A system for monitoring for pushrod faults in an aircraft includes a pushrod; a sensor (36) mounted on the pushrod (34), the sensor (36) wirelessly transmitting measured pushrod load data; a receiver (44) receiving the measured pushrod load data; a model (42) receiving flight data and generating a modeled pushrod load profile; and a fault detector (46) comparing measured pushrod load data to the modeled pushrod load profile to detect a pushrod fault.

Abstract: A computer-implemented method, system, and computer program product for virtual monitoring of aircraft fleet loads are provided. The method includes calculating virtual load data associated with an aircraft from a set of orthogonal waveforms. The method also includes calculating a set of coefficients as a function of parametric data and high frequency data associated with an aircraft. The method further includes storing the set of coefficients on the aircraft and transmitting the set of coefficients to a ground-based system configured to reproduce the virtual load data based on a copy of the set of orthogonal waveforms and the received set of coefficients in order to perform aircraft fleet management.

Abstract: A method of determining a maneuver performed by an aircraft having sensors for monitoring motion data, the method including periodically sampling the sensors to electronically determine segments of motion data of the aircraft; aggregating sequences of the segments of the motion data; comparing the aggregated segments of motion data to models of particular maneuvers; and determining the maneuver performed by the aircraft.

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 for monitoring for pushrod faults in an aircraft includes a pushrod; a sensor (36) mounted on the pushrod (34), the sensor (36) wirelessly transmitting measured pushrod load data; a receiver (44) receiving the measured pushrod load data; a model (42) receiving flight data and generating a modeled pushrod load profile; and a fault detector (46) comparing measured pushrod load data to the modeled pushrod load profile to detect a pushrod fault.

Abstract: A method of determining a maneuver performed by an aircraft having sensors for monitoring motion data, the method including periodically sampling the sensors to electronically determine segments of motion data of the aircraft; aggregating sequences of the segments of the motion data; comparing the aggregated segments of motion data to models of particular maneuvers; and determining the maneuver performed by the aircraft.

Abstract: A computer-implemented method, system, and computer program product for virtual monitoring of aircraft fleet loads are provided. The method includes calculating virtual load data associated with an aircraft from a set of orthogonal waveforms. The method also includes calculating a set of coefficients as a function of parametric data and high frequency data associated with an aircraft. The method further includes storing the set of coefficients on the aircraft and transmitting the set of coefficients to a ground-based system configured to reproduce the virtual load data based on a copy of the set of orthogonal waveforms and the received set of coefficients in order to perform aircraft fleet management.

Abstract: The present invention includes a method and device for detecting duplicate documents by triangulation. Particular aspects of the present invention are described in the claims, specification and drawings.