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• W2899457672 abstract "Bogies support high-speed train carriage, stabilize trains on both straight and curved track and improve ride quality by absorbing vibration and they play a vital role in the operation of high-speed trains. This paper addresses faults diagnosis of high-speed train bogies using singular spectrum analysis. A modified singular difference spectrum criterion is formulated to select a dimension of subspace l, and the useful signal of an original signal is reconstructed by l-dimensional subspace. A detection statistic is sum of squared Euclidean distances between lag vector of test matrix and the l-dimensional subspace of base matrix. Experimental results testify that the proposed approach not only detects the bogie failure, but also identifies the time instant of bogie failure." @default.
• W2899457672 created "2018-11-09" @default.
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• W2899457672 date "2018-05-01" @default.
• W2899457672 modified "2023-09-24" @default.
• W2899457672 title "High-speed Train Bogie Faults Diagnosis Using Singular Spectrum Analysis" @default.
• W2899457672 cites W2016606766 @default.
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• W2899457672 doi "https://doi.org/10.1109/ddcls.2018.8515949" @default.
• W2899457672 hasPublicationYear "2018" @default.
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