Static air-gap eccentricity fault diagnosis using rotor slot harmonics in line neutral voltage of three-phase squirrel cage induction motor
| Autor: | M. Boucherma, Abdelmalek Khezzar, Yassine Maouche, Mohamed El Kamel Oumaamar |
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| Rok vydání: | 2017 |
| Předmět: |
Engineering
Stator 020209 energy media_common.quotation_subject Aerospace Engineering 02 engineering and technology Fault (power engineering) Fault detection and isolation law.invention Control theory law 0202 electrical engineering electronic engineering information engineering Eccentricity (behavior) Civil and Structural Engineering media_common business.industry Rotor (electric) Squirrel-cage rotor Mechanical Engineering 020208 electrical & electronic engineering Computer Science Applications Control and Systems Engineering Harmonics Signal Processing business Induction motor |
| Zdroj: | Mechanical Systems and Signal Processing. 84:584-597 |
| ISSN: | 0888-3270 |
| DOI: | 10.1016/j.ymssp.2016.07.016 |
| Popis: | The mixed eccentricity fault detection in a squirrel cage induction motor has been thoroughly investigated. However, a few papers have been related to pure static eccentricity fault and the authors focused on the RSH harmonics presented in stator current. The main objective of this paper is to present an alternative method based on the analysis of line neutral voltage taking place between the supply and the stator neutrals in order to detect air-gap static eccentricity, and to highlight the classification of all RSH harmonics in line neutral voltage. The model of squirrel cage induction machine relies on the rotor geometry and winding layout. Such developed model is used to analyze the impact of the pure static air-gap eccentricity by predicting the related frequencies in the line neutral voltage spectrum. The results show that the line neutral voltage spectrum are more sensitive to the air-gap static eccentricity fault compared to stator current one. The theoretical analysis and simulated results are confirmed by experiments. |
| Databáze: | OpenAIRE |
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