Abstract: A method includes obtaining a plurality of data sets, where each data set of the plurality of data sets includes multivariate time series data for a respective sample period of a plurality of sample periods. The method also includes, for each data set of the plurality of data sets, determining recurrence data indicative of recurrent states in the data set and determining, based on the recurrence data, determinism values of a determinism metric and laminarity values of a laminarity metric. The method further includes determining that a particular data set of the plurality of data sets includes data representing an anomalous state based on a determinism-laminarity curve representing the particular data set, where the determinism-laminarity curve is based on the determinism values of the particular data set and the laminarity values of the particular data set. The method also includes generating output data indicating the anomalous state.

Abstract: A method includes receiving input data including a plurality of feature vectors and labeling each feature vector based on a temporal proximity of the feature vector to occurrence of a fault. Feature vectors that are within a threshold temporal proximity to the occurrence of the fault are labeled with a first label value and other feature vectors are labeled with a second label value. The method includes determining, for each feature vector of a subset, a probability that the label associated with the feature vector is correct. The subset includes feature vectors having labels that indicate the first label value. The method includes reassigning labels of one or more feature vectors of the subset having a probability that fails to satisfy a probability threshold and, after reassigning the labels, training an aircraft fault prediction classifier using supervised training data including the plurality of feature vectors and the labels.

Abstract: A diagnostic system for a closed fluid system is provided. The closed fluid system includes a first fluid subsystem and a second fluid subsystem connected using a valve or valve/actuator. The diagnostic system includes a first sensor disposed in the first fluid subsystem, a second sensor disposed in the second fluid subsystem and a computer. The computer receives first time-ordered fluid level measurements and second time-ordered fluid level measurements from respectively the first sensor and the second sensor and performs a comparison of first fluid level of the first fluid subsystem and second fluid level of the second fluid subsystem. The computer produces a notification indicating a predicted transfer of hydraulic fluid when the first time-ordered fluid level measurements and the second time-ordered fluid level measurements have at least a threshold divergence and outputs the notification for display to a user.

Abstract: A method includes obtaining a plurality of data sets, where each data set of the plurality of data sets includes multivariate time series data for a respective sample period of a plurality of sample periods. The method also includes, for each data set of the plurality of data sets, determining recurrence data indicative of recurrent states in the data set and determining, based on the recurrence data, determinism values of a determinism metric and laminarity values of a laminarity metric. The method further includes determining that a particular data set of the plurality of data sets includes data representing an anomalous state based on a determinism-laminarity curve representing the particular data set, where the determinism-laminarity curve is based on the determinism values of the particular data set and the laminarity values of the particular data set. The method also includes generating output data indicating the anomalous state.

Abstract: A system and method for drift detection is disclosed. The method may comprise training and testing an autoencoder, and using the trained and tested autoencoder to automatically detect data drift. The training may include initializing the autoencoder and training the autoencoder based on a first set of sensor data. The testing of the autoencoder with a second set of sensor data may comprise: for an empirical distribution of the reconstruction errors of the second set of sensor data, determining a value of a reconstruction error at the percentile threshold; determining that data drift is not present when the reconstruction error of the second set of sensor data is less than a threshold; and calculating a deviation output for at least one of the one or more sensors. Using the trained and tested autoencoder to automatically detect data drift in sensor data.

Abstract: A method includes receiving input data including a plurality of feature vectors and labeling each feature vector based on a temporal proximity of the feature vector to occurrence of a fault. Feature vectors that are within a threshold temporal proximity to the occurrence of the fault are labeled with a first label value and other feature vectors are labeled with a second label value. The method includes determining, for each feature vector of a subset, a probability that the label associated with the feature vector is correct. The subset includes feature vectors having labels that indicate the first label value. The method includes reassigning labels of one or more feature vectors of the subset having a probability that fails to satisfy a probability threshold and, after reassigning the labels, training an aircraft fault prediction classifier using supervised training data including the plurality of feature vectors and the labels.

Abstract: An apparatus for detecting fault states of an aircraft is provided. The apparatus receives training data including operational parameters of the aircraft operating over a plurality of training flight legs and applies a first clustering algorithm separately to the training data to produce first clustered data. The apparatus applies a second clustering algorithm to the first clustered data to produce second clustered data that indicates a plurality of states describing behavior of the aircraft operating over the training legs and applies a third clustering algorithm to identify one or more fault states of the aircraft from the plurality of states based on the training data and the second clustered data. The apparatus receives messages carrying data from the aircraft over a digital datalink, detects a fault state of the one or more fault states from the data, and generates an alert of the fault state.

Abstract: A system for monitoring aircraft operational messages is provided. The system includes a computing device including a processor in communication with a memory. The computing device is programmed to receive a plurality of historical messages for a plurality of aircraft. Each message of the plurality of historical messages is a message from one of the plurality of aircraft. The computing device is also programmed to receive a plurality of historical maintenance operations performed on the plurality of aircraft, compare the plurality of historical messages to the plurality of historical maintenance operations to determine at least one message type associated with at least one maintenance operation type, and generate a plurality of message type correlations between message types and maintenance operation types based on the comparison.

Abstract: A diagnostic system for a closed fluid system is provided. The closed fluid system includes a first fluid subsystem and a second fluid subsystem connected using a valve or valve/actuator. The diagnostic system includes a first sensor disposed in the first fluid subsystem, a second sensor disposed in the second fluid subsystem and a computer. The computer receives first time-ordered fluid level measurements and second time-ordered fluid level measurements from respectively the first sensor and the second sensor and performs a comparison of first fluid level of the first fluid subsystem and second fluid level of the second fluid subsystem. The computer produces a notification indicating a predicted transfer of hydraulic fluid when the first time-ordered fluid level measurements and the second time-ordered fluid level measurements have at least a threshold divergence and outputs the notification for display to a user.

Abstract: A system for monitoring aircraft operational messages is provided. The system includes a computing device including a processor in communication with a memory. The computing device is programmed to receive a plurality of historical messages for a plurality of aircraft. Each message of the plurality of historical messages is a message from one of the plurality of aircraft. The computing device is also programmed to receive a plurality of historical maintenance operations performed on the plurality of aircraft, compare the plurality of historical messages to the plurality of historical maintenance operations to determine at least one message type associated with at least one maintenance operation type, and generate a plurality of message type correlations between message types and maintenance operation types based on the comparison.

Abstract: A vehicle may include at least one operative sub-system that includes at least one sensor configured to output one or more sensor signals related to the at least one operative sub-system. A monitoring system is in communication with the operative sub-system(s). The monitoring system is configured to correlate the one or more sensor signals with respect to time, compile initial statistics of the one or more sensor signals with respect to a plurality of variables; and correlate the plurality of variables.

Abstract: A vehicle may include at least one operative sub-system that includes at least one sensor configured to output one or more sensor signals related to the at least one operative sub-system. A fault detection system may be in communication with the operative sub-system(s). The fault detection system is configured to generate at least one early warning signal based on the one more sensor signals, and determine at least one derivative of the early warning signal(s).

Abstract: A vehicle may include at least one operative sub-system that includes at least one sensor configured to output one or more sensor signals related to the at least one operative sub-system. A monitoring system is in communication with the operative sub-system(s). The monitoring system is configured to correlate the one or more sensor signals with respect to time, compile initial statistics of the one or more sensor signals with respect to a plurality of variables; and correlate the plurality of variables.

Abstract: A vehicle may include at least one operative sub-system that includes at least one sensor configured to output one or more sensor signals related to the at least one operative sub-system. A fault detection system may be in communication with the operative sub-system(s). The fault detection system is configured to generate at least one early warning signal based on the one more sensor signals, and determine at least one derivative of the early warning signal(s).

Abstract: A modular friction drive system and method for use with a palletized conveyor. The drive system includes drive assemblies located at opposite sides of both a load end and unload end of the palletized conveyor. Each drive assembly comprises at least one drive unit and at least one take-up unit, which are connected by a drive belt. One or more idler units may reside between the drive unit(s) and take-up unit(s). Each drive assembly is provided with an actuating means for pressing the drive belt tightly against the side walls of associated conveyor pallets. Each of the drive unit, take-up unit, and idler unit is preferably modular in nature and can, therefore, be added to or removed from a drive assembly independently of the other unit(s).

Abstract: Systems and methods for creating virtual stop-off points in a movie title, where the viewer can explore interesting content using zoom, pan and gamma controls are provided. Methods include creating an interest point from one or more digital video titles. Systems include a composer for creating interest points in a video and a viewer for manipulating and displaying the interest points.

Abstract: A modular friction drive system and method for use with a palletized conveyor. The drive system includes drive assemblies located at opposite sides of both a load end and unload end of the palletized conveyor. Each drive assembly comprises at least one drive unit and at least on take-up unit, which are connected by a drive belt. One or more idler units may reside between the drive unit(s) and take-up unit(s). Each drive assembly is provided with an actuating means for pressing the drive belt tightly against the side walls of the conveyor pallets. Each of the drive unit, take-up unit, and idler unit is preferably modular in nature and can, therefore, be added to or removed from a drive assembly independently of the other unit(s).

Abstract: Systems and methods for creating a video montage from titles on a digital video are disclosed. Montages include one or more video segments from one or more video titles assembled together into a single video montage. Systems include authoring tools for assembling montages and display tools for displaying montages. Methods include identifying video segments for incorporation into the montage, marking the segments, and using the markings to view the montage.

Abstract: Systems and methods for creating virtual stop-off points in a movie title, where the viewer can explore interesting content using zoom, pan and gamma controls are provided. Methods include creating an interest point from one or more digital video titles. Systems include a composer for creating interest points in a video and a viewer for manipulating and displaying the interest points.

Abstract: Systems and methods for creating and playing annotated media presentations are provided. The methods include creating a commentary including annotations regarding a particular video title, reverse compiling the commentary, editing the commentary, and compiling the commentary. The systems include hardware and software for creating commentaries and hardware and software for presenting the created commentaries.