Abstract
AbstractThis paper presents an application of a novel data collection method: mobile sensing. Mobile sensor networks can provide extensive information similar to dense fixed sensor networks while conserving the ease of smaller networks. However, mobile sensing data is expected to have missing observations in time and space, leaving data matrices incompatible with common identification techniques. STRIDE is an algorithm implemented for modal identification using this class of sensor data, which includes missing observations. Although mobile sensing devices are not widely available and large-scale mobile sensors networks have yet to be implemented, pseudo mobile sensing data is extracted from a dense sensor network using a simulated mobile sensor network. In this paper, ambient vibrations of Golden Gate Bridge are considered and pseudo (simulated) mobile sensing data are populated from a subset that shares the paths of simulated mobile sensors. The paper provides promising results to encourage the implementation of large-scale mobile sensor networks in future SHM endeavors.KeywordsModal identificationMobile sensorsMissing dataSignal processingStructural health monitoring
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