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The objective of this study is to develop a reliable method for locating cracks in a beam usingdata fusion of fractal dimension features of operating deflection shapes. The Katz’s fractal dimension curveof an operating deflection shape is used as a basic feature of damage. Like most available damage features,the Katz’s fractal dimension curve has a notable limitation in characterizing damage: it is unresponsive todamage near the nodes of structural deformation responses, e.g., operating deflection shapes. To address thislimitation, data fusion of Katz’s fractal dimension curves of various operating deflection shapes is used tocreate a sophisticated fractal damage feature, the ‘overall Katz’s fractal dimension curve’. This overallKatz’s fractal dimension curve has the distinctive capability of overcoming the nodal effect of operatingdeflection shapes so that it maximizes responsiveness to damage and reliability of damage localization. Themethod is applied to the detection of damage in numerical and experimental cases of cantilever beams withsingle/multiple cracks, with high-resolution operating deflection shapes acquired by a scanning laservibrometer. Results show that the overall Katz’s fractal dimension curve can locate single/multiple cracks inbeams with significantly improved accuracy and reliability in comparison to the existing method. Datafusion of fractal dimension features of operating deflection shapes provides a viable strategy for identifyingdamage in beam-type structures, with robustness against node effects.

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