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30 March 2006 Sensor validation in non-destructive evaluation using clustering
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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.
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Viswanath Avasarala, Jose R. Celaya, Kai F. Goebel, and Neil Eklund "Sensor validation in non-destructive evaluation using clustering", Proc. SPIE 6167, Smart Structures and Materials 2006: Smart Sensor Monitoring Systems and Applications, 61671F (30 March 2006);

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