Multimodal Industrial Inspection and Analysis

Author:

Singh Prabhjot1,Wu Yanyan1,Kaucic Robert2,Chen Jiaqin3,Little Francis4

Affiliation:

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

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

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

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

Abstract

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.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications,Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The registration of multi-modal point clouds for industrial inspection;Quantitative InfraRed Thermography Journal;2023-07-11

2. Drone-Enabled Multimodal Platform for Inspection of Industrial Components;IEEE Access;2022

3. Integrating multiple sensors for the closed-loop three-dimensional digitization;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2012-02-01

4. Multisensor data fusion in dimensional metrology;CIRP Annals;2009

5. Algorithms for Generating Adaptive Projection Patterns for 3D Shape Measurement;Journal of Computing and Information Science in Engineering;2008-08-21

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