Search Results - Holton, Carvel

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  1. 1
    In-Motion, Non-Contact Detection of Ties and Ballasts on Railroad Tracks

    In-Motion, Non-Contact Detection of Ties and Ballasts on Railroad Tracks by Mirzaei, S. Morteza, Radmehr, Ahmad, Holton, Carvel, Ahmadian, Mehdi

    Published in Applied sciences
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  2. 2
    Development of an optical sensing system for the detection of lubricity conditions on the rail gage face

    Development of an optical sensing system for the detection of lubricity conditions on the rail gage face by Chen, Yang, Mirzaei, S. Morteza H., Holton, Carvel, Ahmadian, Mehdi

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  3. 3
    Dynamic model for the wheel-rail contact friction

    Dynamic model for the wheel-rail contact friction by Lee, HyunWook, Sandu, Corina, Holton, Carvel

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  4. 4
    Optical characterization of quantum dots entrained in microstructured optical fibers

    Optical characterization of quantum dots entrained in microstructured optical fibers by Meissner, Kenith E., Holton, Carvel, Spillman, William B.

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  5. 5
    Track geometry Inspection using a prototype LIDAR system

    Track geometry Inspection using a prototype LIDAR system by Ahmadian, Mehdi, Andani, Masood Taheri, Muñoz, Josh, Holton, Carvel

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  6. 6
    Analysis of converter operation with phase-leg control in daisy-chained or ring-type structure

    Analysis of converter operation with phase-leg control in daisy-chained or ring-type structure by Milosavljevic, I., Zhihong Ye, Boroyevich, D., Holton, C.

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  7. 7
    Results of Testing a Large Array

    Results of Testing a Large Array by Claus, Richard, Holton, Carvel, Kostic, Igor

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  8. 8
    Underwater Adhesives/Attachments

    Underwater Adhesives/Attachments by Courson, Billy, Love, Brian J, Grant, John W, Holton, Carvel, Crivello, James

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  9. 9
    Track geometry inspection using a prototype LIDAR system: TTCI evaluates a non-contact inspection method for detecting track irregularity variations

    Track geometry inspection using a prototype LIDAR system: TTCI evaluates a non-contact inspection method for detecting track irregularity variations by Ahmadian, Mehdi, Andani, Masood Taheri, Munoz, Josh, Holton, Carvel, Davis, David

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