Track monitoring from the dynamic response of a passing train: A sparse approach

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• 作者：George Lederman^a ; ^b ; ^{george.lederman@gmail.com} ; Siheng Chen^b ; ^{sihengc@andrew.cmu.edu} ; James H. Garrett^a ; ^{garrett@cmu.edu} ; Jelena Kovačević^b ; ^c ; ^{jelenak@cmu.edu} ; Hae Young Noh^a ; ^b ; ^noh@cmu.edu ; Jacobo Bielak^a ; ^{jbielak@cmu.edu}
• 关键词：Signal processing ; Sparse representation ; Orthogonal matching pursuit ; Vehicle-based inspection ; Inertial sensing
• 刊名：Mechanical Systems and Signal Processing
• 出版年：2017
• 出版时间：June 2017
• 年：2017
• 卷：90
• 期：Complete
• 页码：141-153
• 全文大小：3167 K
• 卷排序：90

文摘

We use accelerometers in the cabin of a passenger train to monitor the tracks. We impose sparsity in estimating the track profile to make the problem stable. We also estimate the properties of the train from the recorded data. We validate using 2-years of operational train data that we collected in Pittsburgh.