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
Link To Document :
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