- Tytuł:
- Stator inter-turn fault detection of an induction motor using neuro-fuzzy techniques
- Autorzy:
-
Dash, R. N.
Subudhi, B. - Powiązania:
- https://bibliotekanauki.pl/articles/229870.pdf
- Data publikacji:
- 2010
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
inter-turn short circuit fault
phase shifts
adaptive neural fuzzy inference systems (ANFISs)
neural networks
induction motor - Opis:
- Motivated by the superior performances of neural networks and neuro-fuzzy approaches to fault detection of a single phase induction motor, this paper studies the applicability these two approaches for detection of stator inter-turn faults in a three phase induction motor. Firstly, the paper develops an adaptive neural fuzzy inference system (ANFIS) detection strategy and then compares its performance with that of using a multi layer perceptron neural network (MLP NN) applied to stator inter-turn fault detection of a three phase induction motor. The fault location process is based on the monitoring the three phase shifts between the line current and the phase voltage of the induction machine.
- Źródło:
-
Archives of Control Sciences; 2010, 20, 3; 363-376
1230-2384 - Pojawia się w:
- Archives of Control Sciences
- Dostawca treści:
- Biblioteka Nauki
Artykuł