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Proceedings Paper

Sensor validation in non-destructive evaluation using clustering
Author(s): Viswanath Avasarala; Jose R. Celaya; Kai F. Goebel; Neil Eklund
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Paper Abstract

Non-destructive evaluation (NDE) techniques for condition monitoring in remote solid structures have evolved vastly in the last few years. Algorithms for estimation of sensor integrity and for noise correction form a crucial aspect of NDE. This paper presents a sensor validation approach that verifies sensor integrity, identifies and corrects noise effects and selects the best possible array of sensors for multi-sensor fusion. The proposed methodology uses a novel change detection algorithm for noise correction and a clustering algorithm to isolate useful signal information from the sensor data. It was used for sensor selection in a NDE field study, where multiple sensors were used to examine a solid structure. The methodology achieved 97% accuracy in the experiments, indicating its efficacy.

Paper Details

Date Published: 30 March 2006
PDF: 8 pages
Proc. SPIE 6167, Smart Structures and Materials 2006: Smart Sensor Monitoring Systems and Applications, 61671F (30 March 2006); doi: 10.1117/12.659697
Show Author Affiliations
Viswanath Avasarala, The Pennsylvania State Univ. (United States)
Jose R. Celaya, Rensselaer Polytechnic Institute (United States)
Kai F. Goebel, GE Global Research (United States)
Neil Eklund, GE Global Research (United States)

Published in SPIE Proceedings Vol. 6167:
Smart Structures and Materials 2006: Smart Sensor Monitoring Systems and Applications
Daniele Inaudi; Wolfgang Ecke; Brian Culshaw; Kara J. Peters; Eric Udd, Editor(s)

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