NDLI: EMD-Based Analysis of Industrial Induction Motors With Broken Rotor Bars for Identification of Operating Point at Different Supply Modes

Content Provider	IEEE Xplore Digital Library
Author	Faiz, J. Ghorbanian, V. Ebrahimi, B.M.
Copyright Year	2005
Abstract	This paper proposes a competent method for broken bars fault identification in line-start and inverter-fed industrial induction motors. The basis of the proposed method is to determine different frequency bands of the faulty motor current and extract a proper intrinsic mode function (IMF) developed by empirical mode decomposition (EMD). It is analytically proved that two specific IMFs, IMF₂ in line-start mode and IMF₃ in inverter-fed mode, can be used for precise prediction of the behavior of a faulty induction motor. The precision of the method is shown at different operating points, including different loads, fault, and reference speeds. The results indicate that the motor asymmetry is remarkably reduced at distributed broken bars. In addition, the proposed method is capable of determining the operating point of the faulty motor even at no/light loads. Finally, the Filippetti criterion is used, and a new aspect is analytically developed to justify the variations of IMF₃ with speed in an inverter-fed induction motor. The analytical results are verified by experiments.
Sponsorship	IEEE Industrial Electronics Society
Starting Page	957
Ending Page	966
Page Count	10
File Size	2669996
File Format	PDF
ISSN	15513203
Volume Number	10
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Induction motors Bars Synchronous motors Time-frequency analysis Stators Oscillators Rotors line-start Broken bars empirical mode decomposition induction motor intrinsic mode function inverter-fed
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Information Systems Electrical and Electronic Engineering Computer Science Applications

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