26th International Conference on Optical Fiber Sensors 2018
DOI: 10.1364/ofs.2018.the35
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Advances in Train and Rail Monitoring with DAS

Abstract: DAS resembles thousands of microphones along the sensing fiber. In railway applications, only a small fraction of all DAS data carries information about the train-rail interaction. Transforming the data to a rail view or train view simplifies analysis and reveals valuable rail and train properties.

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Cited by 28 publications
(28 citation statements)
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“…While there are individual time samples where the correct number of bogies are visible in the measured intensity along the fiber, in general, the signal is too noisy to determine the correct number from a single sample. Therefore, we use the train position as obtained in the previous step to shift all DAS time samples by x center (t) to create a 'train-view' diagram [6] in which the train and bogie peaks are always localized at the same position (see Figure 2c,d), The train-view diagram corresponds to the DAS signal after transformation into a reference frame moving with the train, and one can directly see the train length of ca. 200 m over time in the diagram, The 'train-view' may potentially be useful for detecting train defects via train signals that change over time.…”
Section: Temporal 'Train-view' Analysismentioning
confidence: 99%
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“…While there are individual time samples where the correct number of bogies are visible in the measured intensity along the fiber, in general, the signal is too noisy to determine the correct number from a single sample. Therefore, we use the train position as obtained in the previous step to shift all DAS time samples by x center (t) to create a 'train-view' diagram [6] in which the train and bogie peaks are always localized at the same position (see Figure 2c,d), The train-view diagram corresponds to the DAS signal after transformation into a reference frame moving with the train, and one can directly see the train length of ca. 200 m over time in the diagram, The 'train-view' may potentially be useful for detecting train defects via train signals that change over time.…”
Section: Temporal 'Train-view' Analysismentioning
confidence: 99%
“…Thereby DAS may help to increase railway capacity by enabling efficient train driving and disposition, but more importantly by enabling moving block operation, if the safety-critical performance of DAS can be established. Further, not only can the train position and velocity be monitored, but, in principle, also faults of the train such as flat wheels, and wear in the train track can be detected due to their characteristic acoustic signatures [6].…”
Section: Introductionmentioning
confidence: 99%
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