Application of Neural Networks and Axial Flux for the Detection of Stator and Rotor Faults of an Induction Motor

• Autorzy: Ewert Paweł

Identyfikatory

DOI

10.2478/pead-2019-0001

• Języki publikacji: EN

Abstrakty

EN

The paper presents the possibility of using neural networks in the detection of stator and rotor electrical faults of induction motors. Fault detection and identification are based on the analysis of symptoms obtained from the fast Fourier transform of the voltage induced by an axial flux in a measurement coil. Neural network teaching and testing were performed in a MATLAB–Simulink environment. The effectiveness of various neural network structures to detect damage, its type (rotor or stator damage) and damage levels (number of rotor bars cracked or stator winding shorted circuits) is presented.

Słowa kluczowe

EN

induction motor; stator faults; rotor faults; diagnostics; axial flux; neural network

• Wydawca: De Gruyter
• Czasopismo: Power Electronics and Drives
• Rocznik: 2019
• Tom: Vol. 4 (39)
• Strony: 201--213
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Ewert Paweł

• Department of Electrical Machines, Drives and Measurements, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

Bibliografia

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