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ADMEEE - Publicações

Publicado: Terça, 02 de Agosto de 2022, 10h38 | Última atualização em Terça, 02 de Agosto de 2022, 14h14

Apresentação Projetos Publicações Membros Regulamento Agenda

  • Da Costa, C.C.O. and. Da Costa, C. 2021. Quantification and Analysis of Uncertainties in Parameters of Rotors Supported by Bearings. European Journal of Engineering and Technology Research, vol. 6, No 2, pp. 88-95, February 2021.

  • Bressan, P., Da Costa, C. 2020. An Indirect Estimator of Speed for a DC Motor Embedded in an Automotive Combustion Engine. European Journal of Engineering and Technology Research, vol. 5, No. 9, pp. 1022-1026, September 2020.

  • Mendes C. R., Bortoli F. S., Da Costa C. 2020. The Digitalization of Manufacturing: A Case Study, International Journal of Advanced Engineering Research and Science (IJAERS), vol.7, Issue 6, pp. 100-106, June 2020.

  • Pinheiro A. A., Brandão I. M., Da Costa C. 2019. Vibration Analysis in Turbomachines Using Machine Learning Techniques. European Journal of Engineering and Technology Research, vol. 4, No. 2, pp. 12-16, February 2019.

  • Da Costa C., Vastag R. G., Campos M. M. 2019, Implementation of a RFID Technology- Based Automatic Traceability System for Industry 4.0. European Journal of Engineering and Technology Research, vol. 4, No. 8, pp. 15-18, August 2019.

  • Monfre F. O., Da Costa C. 2019. Hardware-in-the-loop Emulation of a Control and Longitudinal Compensation System of a Submarine. International Journal of Advanced Engineering Research and Science (IJAERS), vol.6, Issue 8, pp. 171-178, Aug 2019.

  • Bressan P., Da Costa C. 2019. Application of Hall Effect Sensor in Temperature Control Valve of Automotive Internal Combustion Engine. International Journal of Advanced Engineering Research and Science, vol. 6, pp. 439-443.

  • Mendes C. R., Osaki R. Y. Da Costa C. 2018. Application of Big Data and the Internet of Things in Industry 4.0. European Journal of Engineering and Technology Research, vol. 3, No. 11, pp. 20-24, November 2018.

  • Da Costa C., Gama R. S., Nascimento, C. E., Brandão I. M., Medeiros, E. C., Mathias M. H. 2018. Orbit Analysis for Imbalance Fault Detection in Rotating Machinery. IOSR Journal of Electrical and Electronics Engineering, vol. 13, pp. 43-53.

  • Mendes C. R., Osaki R. Y., Da Costa C. 2017. Internet of Things in Automated Production. European Journal of Engineering and Technology Research, vol. 2 No. 10, pp. 13, October 2017.

  • Da Costa C. and Santin C. O. 2017. FPGA design approach of digital control of three-phase induction motor. 2017 Brazilian Power Electronics Conference (COBEP), pp. 1-6, doi: 10.1109/COBEP.2017.8257221.

  • Gama R. S., Silva C. C. J, Nascimento C. E. F., Silva A. M. and Da Costa C. 2017.

  • Analysis of Combined Motor Current Signature and Vibration-Monitoring Techniques in the Study of Broken Bars in Three-Phase High-Performance Induction Motors. Journal of Electrical & Electronic Systems, vol. 06, pp. 1-7.

  • Da Costa C. and Santin C. O. 2017. Design and simulation of direct torque control of induction motors using VHSIC Hardware Description Language (VHDL). Scientific Research and Essays, vol. 12, pp. 103-112.

  • Da Costa, Gama, R. S., Silva, C. C. J., Nascimento, C. E., Silva, A. 2017. Comparing MCSA with Vibration Analysis on Rotating Electrical Machines to Detect Broken Bars: A Case Study. Journal of Multidisciplinary Engineering Science and Technology, vol. 4, pp. 7918-7923.

  • Da Costa C., Santin C. O. 2016. Fault Detection System in Induction Motor Using Artificial Neural Network (ANN) Embedded into FPGA Processor. International Journal of Engineering Research and Management, vol. 03, pp. 31-36.

  • Yamamoto G. K., Da Costa C., Souza J. S. S. 2016. A smart experimental setup for vibration measurement and imbalance fault detection in rotating machinery. Case Studies in Mechanical Systems and Signal Processing, vol. 4, pp. 8-18.

  • Da Costa C., Kashiwagi M., Mathias M. H. 2015. Rotor failure detection of induction motors by wavelet transform and Fourier transform in non-stationary condition. Case Studies in Mechanical Systems and Signal Processing, v. csmssp, pp. 1-12. 

  • Da Costa C., Mathias M. H. 2015. Application of Fuzzy Controller for Automatic Diagnosis of Rotor Broken Bars in Industrial Induction Motors. International Journal of Emerging Engineering Research and Technology, v. 3, pp. 166-176.

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