Detection of Broken Rotor Bars in Nonlinear Startups of Inverter-Fed Induction Motors
Fault detection in induction motors powered by inverters operating in nonstationary regimes remains a challenge. The trajectory in the time–frequency plane of harmonics related to broken rotor bar develops very in proximity to the path described by the fundamental component. In addition, their energ...
| Autores: | , , , |
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| Formato: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2021 |
| País: | España |
| Recursos: | Universidad de Burgos (UBU) |
| Repositorio: | Repositorio Institucional de la Universidad de Burgos (RIUBU) |
| OAI Identifier: | oai:riubu.ubu.es:10259/9945 |
| Acesso em linha: | http://hdl.handle.net/10259/9945 |
| Access Level: | acceso abierto |
| Palavra-chave: | Fault detection Induction motors (IM) Inverters Rotors Time-frequency domain analysis Electrotecnia Ingeniería mecánica Electrical engineering Mechanical engineering |
| Resumo: | Fault detection in induction motors powered by inverters operating in nonstationary regimes remains a challenge. The trajectory in the time–frequency plane of harmonics related to broken rotor bar develops very in proximity to the path described by the fundamental component. In addition, their energy is much lower than the amplitude of the first harmonic. These two characteristics make it challenging to observe them. The Dragon Transform (DT), here presented, is developed to overcome the described problem. In this article, the DT is assessed with nonlinear inverter-fed startups, where its high time and frequency resolutions facilitate the monitoring of fault harmonics even with highly adjacent trajectories to the first harmonic path. |
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