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Eccentricity fault diagnosis in three‐phase‐wound‐rotor induction machine using numerical discrete modeling method
Author(s) -
Naderi Peyman,
Fallahi Farzad
Publication year - 2016
Publication title -
international journal of numerical modelling: electronic networks, devices and fields
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.249
H-Index - 30
eISSN - 1099-1204
pISSN - 0894-3370
DOI - 10.1002/jnm.2157
Subject(s) - stator , eccentricity (behavior) , electromagnetic coil , rotor (electric) , finite element method , fault (geology) , vibration , torque , control theory (sociology) , computer science , power (physics) , engineering , structural engineering , mechanical engineering , acoustics , artificial intelligence , physics , electrical engineering , quantum mechanics , control (management) , seismology , geology , political science , law , thermodynamics
Summary In recent years, several papers have dealt with eccentricity fault diagnosis considering the cage‐induction machine while wound machine type has not been studied as a case. In this paper, eccentricity fault is studied based on the current/torque signature considering modified winding function approach (MWFA). A novel discrete model is introduced, and eccentricity fault is evaluated in both static and dynamic cases. To reach this aim, a numerical model is presented for slot openings, distributed windings and air‐gap, thereby computing the machine's inductances using MWFA. Power spectral density (PSD) of stator's current and machine's vibration are analyzed for static and dynamic eccentricity diagnosis and the finite element method (FEM) is utilized to precisely verify the proposed method. Mathematical‐based model with consideration of both slot openings and non‐sinusoidal winding function effects are the advantages of the proposed method over the previous researches in this field. Moreover, proposed method, which is based on mathematical modeling, could be easily applied to other types of electrical machines, and this feature is regarded as another key point of this paper. Copyright © 2016 John Wiley & Sons, Ltd.