Multimodal Industrial Inspection and Analysis

[+] Author and Article Information
Prabhjot Singh

Product Realization Lab,  GE Global Research, One Research Circle, Niskayuna, NY 12309

Yanyan Wu1

Product Realization Lab,  GE Global Research, One Research Circle, Niskayuna, NY 12309wuy@research.ge.com

Robert Kaucic

Computer Vision Lab,  GE Global Research, One Research Circle, Niskayuna, NY 12309

Jiaqin Chen

Computer Sciences Department,  University of Wisconsin, Madison, WI 53706

Francis Little

 General Electric Transportation, Quality Technology Center, 10270 St. Rita Lane, Cincinnati, OH 45215


Corresponding author.

J. Comput. Inf. Sci. Eng 7(1), 102-107 (Sep 05, 2006) (6 pages) doi:10.1115/1.2410024 History: Received September 15, 2005; Revised September 05, 2006

Diagnosis of complex engineering systems requires the use of multiple sensor sources to acquire information. In this paper we present a survey of multimodal data acquisition systems for nondestructive testing (NDT) and engineering analysis. We begin with a summary of the relative strengths and weaknesses of individual NDT modalities. Thereafter we present existing multimodal inspection hardware systems that use complementary NDT sensors. The advantages of such multimodal data acquisition over conventional single modality sensors in inspection and analysis are highlighted. Possible approaches to fuse complementary multimodal sensor data are discussed. We conclude with possible directions for the future development of multimodal inspection systems.

Copyright © 2007 by American Society of Mechanical Engineers
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Grahic Jump Location
Figure 1

Overall vision for multimodal inspection

Grahic Jump Location
Figure 2

In situ inspection of a gas turbine: (left) Area that is to be inspected; (right) how a borescope can be threaded through the access port to provide a view of the turbine blades.



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