Abstract: A method is provided for displaying an augmented reality (AR) representation of physical effects and property damage resulting from a parametric earthquake event. The method includes scanning, using one or more sensors of a user device, a scene in proximity to a user. The method also includes identifying a background and objects in the scene. The method further includes creating an AR background for the background of the scene and AR objects for the objects in the scene. In addition, the method includes receiving at least one seismic characteristic from the user through the display of the user device. The method additionally includes displaying at least one seismic effect on the AR objects and the AR background in the scene based on the at least one received seismic characteristic.

Abstract: A method is provided for displaying an augmented reality (AR) representation of physical effects and property damage resulting from a parametric earthquake event. The method includes scanning, using one or more sensors of a user device, a scene in proximity to a user. The method also includes identifying a background and objects in the scene. The method further includes creating an AR background for the background of the scene and AR objects for the objects in the scene. In addition, the method includes receiving at least one seismic characteristic from the user through the display of the user device. The method additionally includes displaying at least one seismic effect on the AR objects and the AR background in the scene based on the at least one received seismic characteristic.

Abstract: A method of decontaminating a surface of a material includes obtaining training data including thermographic images of a test surface on which a liquid with a decontamination agent is deposited, the thermographic images including intensity values that describe radiation emitted across the test surface over time. The method includes accessing a parametric model of the radiation emitted as a function of time, and applying a spatial regularization to the parametric model in which parameters of the parametric model are made functions of location across the test surface of the material. The parametric model with the spatial regularization is fit to the training data to produce a fitted parametric model. And the fitted parametric model is deployed to predict the radiation emitted across a working surface on which the liquid is deposited, and decontamination of the working surface is determinable from the radiation emitted as predicted.

Abstract: A method is provided for displaying an augmented reality (AR) representation of physical effects and property damage resulting from a parametric earthquake event. The method includes scanning, using one or more sensors of a user device, a scene in proximity to a user. The method also includes identifying a background and objects in the scene. The method further includes creating an AR background for the background of the scene and AR objects for the objects in the scene. In addition, the method includes receiving at least one seismic characteristic from the user through the display of the user device. The method additionally includes displaying at least one seismic effect on the AR objects and the AR background in the scene based on the at least one received seismic characteristic.

Abstract: Methods and systems for installing and verifying installation of a fastener assembly using predictive verification. A method includes receiving, at a processor, at least one fastener assembly hole characteristic of a fastener assembly hole. The method further includes determining, via the processor, whether the at least one fastener assembly hole characteristic is within a predetermined range of fastener assembly hole variable and, upon determining the at least one fastener assembly hole characteristic is within the predetermined range of fastener assembly hole variables, transmitting instructions, via the processor, to a fastening device to initiate installation of a fastener assembly in the fastener assembly hole. The processor then receives at least one installation value of the fastener assembly and determines via the processor, whether the installation value is within a predetermined range of fastener installation variables.

Abstract: Methods and systems for installing and verifying installation of a fastener assembly using predictive verification. A method includes receiving, at a processor, at least one fastener assembly hole characteristic of a fastener assembly hole. The method further includes determining, via the processor, whether the at least one fastener assembly hole characteristic is within a predetermined range of fastener assembly hole variable and, upon determining the at least one fastener assembly hole characteristic is within the predetermined range of fastener assembly hole variables, transmitting instructions, via the processor, to a fastening device to initiate installation of a fastener assembly in the fastener assembly hole. The processor then receives at least one installation value of the fastener assembly and determines via the processor, whether the installation value is within a predetermined range of fastener installation variables.

Abstract: Methods for measuring out-of-plane wrinkles in composite laminates are described. An example method includes scanning a first side of a composite laminate with an ultrasonic transducer. The method further includes locating an out-of-plane wrinkle of the composite laminate on a B-scan ultrasound image generated in response to the scanning of the first side of the composite laminate. The method further includes associating a first marker with the B-scan ultrasound image, the first marker determined based on a location of a crest of the out-of-plane wrinkle on the B-scan ultrasound image. The method further includes associating a second marker with the B-scan ultrasound image, the second marker determined based on a location of a trough focal point of the out-of-plane wrinkle on the B-scan ultrasound image. The method further includes determining an amplitude of the out-of-plane wrinkle based on a distance between the first marker and the second marker.

Abstract: Methods for measuring out-of-plane wrinkles in composite laminates are described. An example method includes scanning a first side of a composite laminate with an ultrasonic transducer. The method further includes locating an out-of-plane wrinkle of the composite laminate on a B-scan ultrasound image generated in response to the scanning of the first side of the composite laminate. The method further includes associating a first marker with the B-scan ultrasound image, the first marker determined based on a location of a crest of the out-of-plane wrinkle on the B-scan ultrasound image. The method further includes associating a second marker with the B-scan ultrasound image, the second marker determined based on a location of a trough focal point of the out-of-plane wrinkle on the B-scan ultrasound image. The method further includes determining an amplitude of the out-of-plane wrinkle based on a distance between the first marker and the second marker.

Abstract: There is provided an automated data driven method for predicting one or more operational states, such as wear or degradation, of a mechanical system over time. The method has the steps of collecting data on the mechanical system from a data recording device, preprocessing the collected data, selecting a training data set that represents a base condition for statistical comparison, fitting a statistical model to the training data set to relate a predicted response to nuisance variables at the base condition, and using an output model to predict what an observed response would have been at the base condition and calculating the difference between the observed response and the predicted response to predict the one or more operational states of the mechanical system.

Abstract: There is provided an automated data driven method for predicting one or more operational states, such as wear or degradation, of a mechanical system over time. The method comprises the steps of collecting data on the mechanical system from a data recording device, preprocessing the collected data, selecting a training data set that represents a base condition for statistical comparison, fitting a statistical model to the training data set to relate a predicted response to nuisance variables at the base condition, and using an output model to predict what an observed response would have been at the base condition and calculating the difference between the observed response and the predicted response to predict the one or more operational states of the mechanical system.

Abstract: A system, method, and computer program product for predicting failure of a vehicle system or subsystem by using statistical analysis of prior maintenance messages and vehicle failures, such that the predictions of failures may be incorporated into a vehicle monitoring and reporting system. Maintenance message data and vehicle system or subsystem failure data are collected from a central maintenance computer of a vehicle, such as an aircraft. This maintenance message and vehicle system or subsystem failure data are analyzed to discern relationships between maintenance messages and vehicle system or subsystem failures which will enable future failures to be predicted. By predicting future failures, maintenance can be performed in time to prevent the vehicle failure and thereby avoid unnecessary costs and unscheduled interruptions of vehicle operations.

Abstract: The system and associated method for monitoring a vehicle receives data, which may be fault data and/or prognostic data, associated with operation of the vehicle, such as via a data gathering element. In addition, at least one user preference is applied to the data, such as via a customization element, and at least a portion of the data is presented, such as via a display element. The user preference(s) may be an alerting preference, which includes alerting the user one the data reaches a predetermined threshold, a prioritization preference, which includes prioritizing the data based upon historical data, and/or a data delivery preference, which includes delivering the data to one or more locations.

Abstract: A system, method, and computer program product for predicting failure of a vehicle system or subsystem by using statistical analysis of prior maintenance messages and vehicle failures, such that the predictions of failures may be incorporated into a vehicle monitoring and reporting system. Maintenance message data and vehicle system or subsystem failure data are collected from a central maintenance computer of a vehicle, such as an aircraft. This maintenance message and vehicle system or subsystem failure data are analyzed to discern relationships between maintenance messages and vehicle system or subsystem failures which will enable future failures to be predicted. By predicting future failures, maintenance can be performed in time to prevent the vehicle failure and thereby avoid unnecessary costs and unscheduled interruptions of vehicle operations.

Abstract: The system and associated method for monitoring a vehicle receives data, which may be fault data and/or prognostic data, associated with operation of the vehicle, such as via a data gathering element. In addition, at least one user preference is applied to the data, such as via a customization element, and at least a portion of the data is presented, such as via a display element. The user preference(s) may be an alerting preference, which includes alerting the user one the data reaches a predetermined threshold, a prioritization preference, which includes prioritizing the data based upon historical data, and/or a data delivery preference, which includes delivering the data to one or more locations.