DocumentCode
2764237
Title
Detection and Severity Classification of Rotor Imbalance Faults in Induction Machines
Author
Jain, Himanshu ; Korkua, Suratsavadee ; Lee, Wei-Jen ; Kwan, Chiman
Author_Institution
Energy Syst. Res. Center, Univ. of Texas at Arlington, Arlington, TX, USA
fYear
2010
fDate
3-7 Oct. 2010
Firstpage
1
Lastpage
8
Abstract
Rotor imbalance in induction machines has been widely studied. The signatures to look for in the stator current for detecting rotor imbalance are well established. However, an accurate explanation for the appearance of these signatures is lacking. Moreover, in most studies only a single phase of stator current has been used for detecting rotor imbalance and determining its severity. Combing imbalance features from the three phases through sensor fusion can yield more accurate and reliable results. Therefore, this paper focuses on, (i) accurate modeling of rotor imbalance to explain the genesis of its signatures in the stator current and, (ii) determining imbalance severity by sensor fusion. A test bed is established to verify the proposed approach.
Keywords
asynchronous machines; fault diagnosis; sensor fusion; induction machines; rotor imbalance detection; rotor imbalance faults; sensor fusion; severity classification; stator current; Inductance; Mathematical model; Rotors; Sensor fusion; Stator windings; Torque;
fLanguage
English
Publisher
ieee
Conference_Titel
Industry Applications Society Annual Meeting (IAS), 2010 IEEE
Conference_Location
Houston, TX
ISSN
0197-2618
Print_ISBN
978-1-4244-6393-0
Type
conf
DOI
10.1109/IAS.2010.5615966
Filename
5615966
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