Experimental study on decision fusion of many damage detection methods with multi-resolution

Yong Chen; Senyuan Tian; Bingnan Sun; Xiaoyan Sun; Dryver R. Huston

doi:10.1117/12.775387

11 April 2008 Experimental study on decision fusion of many damage detection methods with multi-resolution

Yong Chen, Senyuan Tian, Bingnan Sun, Xiaoyan Sun, Dryver R. Huston

Proceedings Volume 6934, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2008; 69341D (2008) https://doi.org/10.1117/12.775387
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2008, San Diego, California, United States

Abstract

This paper describes the use of decision fusion strategy in damage detection. These techniques fuse multiple individual damage detection measures to form a detector with higher probabilities of correct detection than that attainable with any of the individual measures. In this paper, these technique is applied to vibration-based damage detection methods. As a demonstration of the methodology, the first step was to fabricate an experimental fixture which the vibration properties of damaged and undamaged structures can be measured. The experimental results with the undamaged structural model provided information for producing an improved theoretical and numerical model of the mechanics via model updating techniques. Three common vibration-based damage detection methods using a varied multi-resolution on the experimental results were implemented to identify the damage that occurred in the structure. Finally, the strategy to join the information from the three methods with multi-resolution decision fusion rules is introduced. The fused results are shown to be superior to that from only one method.

Citation Download Citation

Yong Chen, Senyuan Tian, Bingnan Sun, Xiaoyan Sun, and Dryver R. Huston "Experimental study on decision fusion of many damage detection methods with multi-resolution", Proc. SPIE 6934, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2008, 69341D (11 April 2008); https://doi.org/10.1117/12.775387

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