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Title:
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A novel broken rotor bar fault detection method using park’s transform and wavelet decomposition
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Author:
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Salehi Arashloo Arashloo, Ramin; Romeral Martínez, José Luis; Salehifar, Mehdi
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Other authors:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica; Universitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group |
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Abstract:
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Detection of broken rotor bars has been an
important but difficult work in fault diagnosis area of induction motors. The characteristic frequency components of faulted rotor are very close to the
power frequency component but by far less in
amplitude, which brings about great difficulty for accurate detection.
In the present study, a new method is proposed in order to remove the main frequency component, resulting in more efficient detection of the rotor
fault characteristics in the frequency spectrum of stator currents. The method is based on Park’s transformation in combination with discrete wavelet decomposition to eliminate the effect of
main frequency and zoom on the energy of
objective fault related frequency components. In addition, the method efficiency is evaluated using Simulations in Matlab. |
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Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria mecànica::Motors
-Àrees temàtiques de la UPC::Enginyeria electrònica
-Electric motors.
-Electric machinery--Rotors
-Motors elèctrics
-Rotors
-Maquinària elèctrica -- Manteniment i reparació
-Maquinària elèctrica -- Models matemàtics |
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Rights:
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Document type:
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Article - Published version
Conference Object |
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Published by:
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Institute of Electrical and Electronics Engineers (IEEE)
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