NDLI: Fault diagnosis of the asynchronous machines through magnetic signature analysis using finite-element method and neural networks

Content Provider	IEEE Xplore Digital Library
Author	Barzegaran, M. Mohammed, O. Mazloomzadeh, A.
Copyright Year	2015
Abstract	Summary form only given. This paper presents a method for the identification of winding failures in induction motors. The types of failures include unbalanced currents flowing into the motor and short-circuit of the winding. The radiated magnetic field of a typical induction motor was studied while various types of failures applied to the machine. The implementation was performed by applying different types of unbalanced currents flow into the machine. The fields were obtained from both numerical finite-element simulations as well as from experimental setups. The turn to terminal and turn to turn short-circuit of the motor's winding were studied. The frequency response of the 3-D finite-element (3DFE) model of the motor was implemented up to high-order frequencies. The numerical results were compared with the measurement results. The fields with unbalanced currents and short-circuit conditions were identified by studying the harmonic orders of the radiated magnetic fields. This was also implemented using artificial neural networks (ANN). The results show that the signature study of the experimental as well as the simulation models can be utilized for failure identification in electric motors with a high level of accuracy.
Starting Page	1
Ending Page	1
File Size	76329
Page Count	1
File Format	PDF
ISBN	9781467380409
DOI	10.1109/PESGM.2015.7286516
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Induction motors Finite element analysis Windings Fault diagnosis Magnetic fields Numerical models Artificial neural networks
Content Type	Text
Resource Type	Article

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