Filtros : "SENSOR" "Tita, Volnei" "Mechanical Systems and Signal Processing" Limpar

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  • Source: Mechanical Systems and Signal Processing. Unidade: EESC

    Subjects: POTENCIAL ELÉTRICO, SENSOR, BATERIAS ELÉTRICAS, ENGENHARIA ELÉTRICA

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      CHRISTOFF, Bruno Guilherme et al. On the strain-sensing capabilities of a novel all-solid-state sodium-based-electrolyte battery under vibration loads. Mechanical Systems and Signal Processing, v. 215, p. 1-13, 2024Tradução . . Disponível em: http://dx.doi.org/10.1016/j.ymssp.2024.111390. Acesso em: 28 set. 2024.
    • APA

      Christoff, B. G., Marques, D., Carmo, J. P. P. do, Braga, M. H., & Tita, V. (2024). On the strain-sensing capabilities of a novel all-solid-state sodium-based-electrolyte battery under vibration loads. Mechanical Systems and Signal Processing, 215, 1-13. doi:10.1016/j.ymssp.2024.111390
    • NLM

      Christoff BG, Marques D, Carmo JPP do, Braga MH, Tita V. On the strain-sensing capabilities of a novel all-solid-state sodium-based-electrolyte battery under vibration loads [Internet]. Mechanical Systems and Signal Processing. 2024 ; 215 1-13.[citado 2024 set. 28 ] Available from: http://dx.doi.org/10.1016/j.ymssp.2024.111390
    • Vancouver

      Christoff BG, Marques D, Carmo JPP do, Braga MH, Tita V. On the strain-sensing capabilities of a novel all-solid-state sodium-based-electrolyte battery under vibration loads [Internet]. Mechanical Systems and Signal Processing. 2024 ; 215 1-13.[citado 2024 set. 28 ] Available from: http://dx.doi.org/10.1016/j.ymssp.2024.111390
  • Source: Mechanical Systems and Signal Processing. Unidade: EESC

    Subjects: MÉTODO DOS ELEMENTOS FINITOS, PIEZOELETRICIDADE, SENSOR, DANO

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      SARTORATO, Murilo et al. Computational model for supporting SHM systems design: damage identification via numerical analyses. Mechanical Systems and Signal Processing, v. 84, p. 445-461, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.ymssp.2016.07.035. Acesso em: 28 set. 2024.
    • APA

      Sartorato, M., Medeiros, R. de, Vandepitte, D., & Tita, V. (2017). Computational model for supporting SHM systems design: damage identification via numerical analyses. Mechanical Systems and Signal Processing, 84, 445-461. doi:10.1016/j.ymssp.2016.07.035
    • NLM

      Sartorato M, Medeiros R de, Vandepitte D, Tita V. Computational model for supporting SHM systems design: damage identification via numerical analyses [Internet]. Mechanical Systems and Signal Processing. 2017 ; 84 445-461.[citado 2024 set. 28 ] Available from: https://doi.org/10.1016/j.ymssp.2016.07.035
    • Vancouver

      Sartorato M, Medeiros R de, Vandepitte D, Tita V. Computational model for supporting SHM systems design: damage identification via numerical analyses [Internet]. Mechanical Systems and Signal Processing. 2017 ; 84 445-461.[citado 2024 set. 28 ] Available from: https://doi.org/10.1016/j.ymssp.2016.07.035

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