The Boeing Company

Hrl Laboratories, LLC

Richard J Patrick

Tsai-Ching Lu

Heiko Hoffmann

Charles E Martin

Jose Cruz-Albrecht

Vincent De Sapio

Nigel D Stepp

Stephen C Slaughter

John Richard Haley, Jr

Alexander Graber-Tilton

Thomas M Trostel

An apparatus for detecting a fault state of an aircraft is provided. The apparatus accesses a training set of flight data for the aircraft. The training set includes observations of the flight data, each observation of the flight data includes measurements of properties selected and transformed into a set of features. The apparatus builds a generative adversarial network including a generative model and a discriminative model using the training set and the set of features, and builds an anomaly detection model to predict the fault state of the aircraft. The anomaly detection model is trained using the training set of flight data, simulated flight data generated by the generative model, and a subset of features from the set of features. The apparatus deploys the anomaly detection model to predict the fault state of the aircraft using additional observations of the flight data.

Detecting fault states of an aircraft

A method, system and computer program product are provided for aligning and inserting a wire contact within a target hole of a connector to facilitate the automated insertion of the wire ends of a wire bundle assembly into the wire contact insertion holes of a connector. Methods may include: obtaining captured images, from at least two image capture devices attached to an end-effector of a robot, of a wire gripper of the end-effector; causing the robot to advance the end-effector to move the wire contact within a predetermined distance of the connector; causing the robot to advance the end-effector to move the wire contact toward the connector a predetermined additional amount more; and identifying, based on movement of the wire contact the predetermined additional amount more, if alignment is correct from force feedback at the wire gripper.

Method and system for alignment and insertion of wire contact with wire contact insertion holes of a connector

Described is neuromorphic system for authorized user detection. The system includes a client device comprising a plurality of sensor types providing streaming sensor data and one or more processors. The one or more processors include an input processing component and an output processing component. A neuromorphic electronic component is embedded in or on the client device for continuously monitoring the streaming sensor data and generating out-spikes based on the streaming sensor data. Further, the output processing component classifies the streaming sensor data based on the out-spikes to detect an anomalous signal and classify the anomalous signal.

Neuromorphic system for authorized user detection

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Irvine, CA, United States of America

Richard J Patrick