The Boeing Company

Walter J Jarecki

James J Troy

Gregory James Sweers

Gary E Georgeson

Armando Xavier Membrila

Phillip R Riste

Gregory M Santini

Stephen Roger Amorosi

Matthew Leroy Anderson

Paul Hungwai Lai

Gregory E Rupert

Nicholas I Bennett

Carl F Osaki

Steve C Hinrichs

Charles T Coccia

Quang Minh Pham

Systems and methods for tracking the location of a non-destructive inspection (NDI) scanner using scan data converted into images of a target object. Scan images are formed by aggregating successive scan strips acquired using one or two one-dimensional sensor arrays. An image processor computes a change in location of the NDI scanner relative to a previous location based on the respective positions of common features in partially overlapping scan images. The performance of the NDI scanner tracking system is enhanced by: (1) using depth and intensity filtering of the scan image data to differentiate features for improved landmark identification during real-time motion control; and (2) applying a loop-closure technique using scan image data to correct for drift in computed location. The enhancements are used to improve localization, which enables better motion control and coordinate accuracy for NDI scan data.

Enhanced vehicle navigation using non-destructive inspection one-dimensional sensor arrays

A method, apparatus, system, and computer program product for inspecting an aircraft. A computer system receives captured data associated with a flight path flown by an unmanned aircraft system to acquire the captured data for the aircraft. The computer system compares the captured data with reference data for the aircraft to form a comparison. The computer system determines whether the captured data is within a set of tolerances for valid captured data using a result of the comparison. Prior to detecting anomalies for the aircraft using the captured data, the computer system determines a set of corrective actions in response to the captured data being outside of the set of tolerances for the valid captured data in which the set of corrective actions is performed.

Automated method and system for aircraft inspection with data validation

A system and method for detecting an anomaly of an optically transparent or translucent object are disclosed. The system and method include a light source configured to emit light, a light transmission element having a textured surface, and an optical couplant configured to be disposed between the light transmission element and the object. At least a portion of the light emitted by the light source is configured to pass into the light transmission element through the textured surface and pass into the object through the optical couplant. At least a portion of the light that passes into the object internally reflects within the object and impinges on the anomaly to provide an illumination that indicates the location of the anomaly.

Systems and methods for detecting anomalies in objects

A wing leading edge architecture designed to enable laminar flow on passenger jets or other aircraft. The embodiments disclosed herein comprise a metallic fixed leading edge skin panel that is bonded to internal support structure without fasteners except for limited fastening along side edge portions adjacent to side edge portions of adjacent leading edge skin panels and along an aft edge portion overlapping a wing skin. In addition, the embodiments disclosed herein integrate a low-drag bleed-air anti-icing (i.e., vent) system and a Krueger flap assembly (e.g., a two-position, high-height, variable-camber Krueger flap assembly).

Wing leading edge architecture suitable for laminar flow

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Long Beach, CA, United States of America

Walter J Jarecki