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This paper presents algorithms for diagnosing the severity and location of damage in a laboratory bridge model.We use signal processing and machine learning approaches to analyze the vibration responses collected both directly from the bridge model and indirectly from a vehicle passing over the bridge.This work expands on previous work by Cerda et al.(2013).