Assessment of Engineering Techniques for Failures Simulation in Induction Motors Using Numerical Tool-Reference-Cited by-同舟云学术

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Assessment of Engineering Techniques for Failures Simulation in Induction Motors Using Numerical Tool

Published:2020-12-16 Issue: Volume: Page:307-319
ISSN:2190-3018
Container-title:Proceedings of the 5th Brazilian Technology Symposium
language:
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Author:

Caiza Gustavo^ORCID,Garcia Carlos A.^ORCID,Naranjo Jose E.^ORCID,Garcia Marcelo V.^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-57548-9_28

Reference19 articles.

1. Abhinandan, A.C., Sidram, M.H.: Fault diagnosis of an induction motor through motor current signature analysis, FFT & DWT analysis. In: 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS) [Internet]. Salmabad: IEEE; 2017 [cited 2019 July 30], pp. 1–7. Available from: https://ieeexplore.ieee.org/document/8277869/

2. Antonino-Daviu, J., Lopez, A.Q., Rubbiolo, M., Climente-Alarcon, V.: Diagnosis of the rotor condition in electric motors operating in mining facilities through the analysis of motor currents. In: 2017 IEEE Industry Applications Society Annual Meeting [Internet]. Cincinnati, OH: IEEE; 2017 [cited 2019 July 30], pp. 1–8. Available from: https://ieeexplore.ieee.org/document/8101834/

3. Bellini, A., Filippetti, F., Tassoni, C., Capolino, G.A.: Advances in diagnostic techniques for induction machines. IEEE Trans. Ind. Electron. 55, 4109–4126 (2008)

4. Climente-Alarcon, V., Nair, D., Sundaria, R., Antonino-Daviu, J.A., Arkkio, A.: Combined model for simulating the effect of transients on a damaged rotor cage. IEEE Trans. Ind. Appl. 53, 3528–3537 (2017)

5. Cox, R.W., Parikh, P.K., Cox, R., Parikh, P.: Algorithm for tracking the health of multiple induction motors using bus-level current. In: IECON 2018—44th Annual Conference of the IEEE Industrial Electronics Society [Internet]. Washington, DC: IEEE; 2018 [cited 2019 July 30], pp. 373–378. Available from: https://ieeexplore.ieee.org/document/8591655/

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3. An Immersive Training Approach for Induction Motor Fault Detection and Troubleshooting;Lecture Notes in Computer Science;2021

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