Infrastructure Monitoring From an In-Service Light Rail Vehicle
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2016-01-01
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Edition:Final research report
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Abstract:Presently, rail inspection is performed either visually or with dedicated track geometry cars. The authors examine a more economical approach where rail inspection is performed by analyzing vibration data collected from an operational passenger train. With the financial and logistical support of the Technologies for Safe and Efficient Transportation University Transportation Center, a test-system was deployed on a light-rail vehicle and has been collecting data for the past two years. The collected data underscores two of the main challenges that arise in train-based track monitoring: the speed of the train at a given location varies from pass to pass and the position of the train is not known precisely. The authors explore which feature representations of the data best characterize the state of the tracks despite these sources of uncertainty (i.e., in the spatial domain or frequency domain), and the authors examine how consistently change detection approaches can identify track changes from the data. The authors show the accuracy of these different representations, or features, and different change detection approaches on two types of track changes, track replacement and tamping (a maintenance procedure to improve track geometry), and two types of data, simulated data and operational data from the test-system.
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