Automated Inspection of Aircraft.

Abstract

This report describes the development of a robotic system designed to assist aircraft inspectors by remotely deploying nondestructive inspection (NDI) sensors and acquiring, processing, and storing inspection data. During a preliminary phase of work under this program, Carnegie Mellon University studied the task of aircraft inspection, compiled the functional requirements for an automated system to inspect skin fastener rows, and developed a conceptual design of an inspection robot. A prototype of the robotic inspection system (the Automated NonDestructive Inspector or ANDI) has been developed. The first phase of system development resulted in a laboratory system that was able to demonstrate the abilities to adhere to the surface of an aircraft panel and to deploy a standard eddy-current sensor. This report describes the most recent developments in the program. The major accomplishments of the phase include: Enhancing the mechanics, adding video cameras to the robot for navigation, adding an onboard computer for low-level task sequencing, and demonstrating the system at the FAA's Aging Aircraft NDI Validation Center (AANC) during the 1994 Air Transport Association NDT Forum.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1996
Accession Number
ADA314438

Entities

People

  • C. J. Alberts
  • C. W. Carroll
  • M. W. Siegel
  • W. M. Kaufman

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Aircraft Panels
  • Aircrafts
  • Buildings And Structures
  • Cameras
  • Computers
  • Control Systems
  • Eddy Currents
  • Fasteners
  • Inspection
  • Mechanics
  • Navigation
  • Prototypes
  • Research Facilities
  • Standards
  • Transport Ships
  • Video Cameras

Readers

  • Facility/Structural Engineering.
  • Structural Health Monitoring of Composite Structures.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy