On the Use of Positive Sequence Current / Negative Sequence Current Ratio for Fault Detection in Induction Motors
This paper studied the use of a new stator current feature for detection of winding and cage bars faults in an induction motor, and presents the experimental validation of a detection and identification scheme using Support Vector Machines (SVM). This validation was performed in a test bed using 2 H...
- Autores:
-
Castillo, Silvia Oviedo
Méndez, Jabid Quiroga
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2019
- Institución:
- Universidad EIA .
- Repositorio:
- Repositorio EIA .
- Idioma:
- spa
- OAI Identifier:
- oai:repository.eia.edu.co:11190/4945
- Acceso en línea:
- https://repository.eia.edu.co/handle/11190/4945
https://doi.org/10.24050/reia.v16i31.760
- Palabra clave:
- Rights
- openAccess
- License
- Revista EIA - 2019
| Summary: | This paper studied the use of a new stator current feature for detection of winding and cage bars faults in an induction motor, and presents the experimental validation of a detection and identification scheme using Support Vector Machines (SVM). This validation was performed in a test bed using 2 HP, 4 pole motors in which shorted winding and broken bars faults were induced, separately. Both time and frequency domain features like arithmetic mean, RMS value, Central Frequency, Kurtosis, RMS value of Power Spectral Density were assessed and validated using experimental data for several load conditions. PSC/NSC (positive sequence current/ negative sequence current) ratio was successful in most of the classifiers despite the load regime. This new feature was evaluated in terms of fault detection and severity discrimination with satisfactory results. |
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