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Shantanu Chakrabartty

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Salehi, Hadi / Burgueno, Rigoberto / Chakrabartty, Shantanu / Lajnef, Nizar / Alavi, Amir H. (2021): A comprehensive review of self-powered sensors in civil infrastructure: State-of-the-art and future research trends. In: Engineering Structures, v. 234 (Mai 2021).

    https://doi.org/10.1016/j.engstruct.2021.111963

  2. Aono, Kenji / Hasni, Hassene / Pochettino, Owen / Lajnef, Nizar / Chakrabartty, Shantanu (2019): Quasi-Self-Powered Piezo-Floating-Gate Sensing Technology for Continuous Monitoring of Large-Scale Bridges. In: Frontiers in Built Environment, v. 5 (November 2019).

    https://doi.org/10.3389/fbuil.2019.00029

  3. Salehi, Hadi / Das, Saptarshi / Chakrabartty, Shantanu / Biswas, Subir / Burgueno, Rigoberto (2018): Structural damage identification using image-based pattern recognition on event-based binary data generated from self-powered sensor networks. In: Structural Control and Health Monitoring, v. 25, n. 4 (April 2018).

    https://doi.org/10.1002/stc.2135

  4. Salehi, Hadi / Das, Saptarshi / Chakrabartty, Shantanu / Biswas, Subir / Burgueno, Rigoberto (2018): Damage identification in aircraft structures with self-powered sensing technology: A machine learning approach. In: Structural Control and Health Monitoring, v. 25, n. 12 (Dezember 2018).

    https://doi.org/10.1002/stc.2262

  5. Hasni, Hassene / Alavi, Amir H. / Lajnef, Nizar / Abdelbarr, Mohamed / Masri, Sami F. / Chakrabartty, Shantanu (2017): Self-powered piezo-floating-gate sensors for health monitoring of steel plates. In: Engineering Structures, v. 148 (Oktober 2017).

    https://doi.org/10.1016/j.engstruct.2017.06.063

  6. Salehi, Hadi / Das, Saptarshi / Chakrabartty, Shantanu / Biswas, Subir / Burgueno, Rigoberto (2019): An algorithmic framework for reconstruction of time-delayed and incomplete binary signals from an energy-lean structural health monitoring system. In: Engineering Structures, v. 180 (Februar 2019).

    https://doi.org/10.1016/j.engstruct.2018.11.072

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