A New Structural Health Monitoring Strategy Based on PZT Sensors and Convolutional Neural Network

Mario De Oliveira (Corresponding / Lead Author), Andre V. Monteiro, Jozue Vieira Filho

    Research output: Contribution to journalArticlepeer-review

    118 Citations (SciVal)
    Original languageEnglish
    Article number2955
    JournalSensors
    Volume18
    Issue number9
    DOIs
    Publication statusPublished (VoR) - 5 Sept 2018

    Funding

    Funding: This work has been funded by the PROPES-IFMT (Grants 099-2017 and 069-2018) and CNPq (Grant 310726/2016-6). This work has been funded by the PROPES-IFMT (Grants 099-2017 and 069-2018) and CNPq (Grant 310726/2016-6).

    FundersFunder number
    PROPES-IFMT099-2017, 069-2018
    Conselho Nacional de Desenvolvimento Científico e Tecnológico310726/2016-6
    Instituto Federal de Mato Grosso

      Keywords

      • CNN
      • Deep learning
      • Electromechanical impedance
      • Intelligent fault diagnosis
      • Machine learning
      • Piezoelectricity
      • SHM

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