DocumentCode :
1534071
Title :
Quantitative evaluation of induction motor broken bars by means of electrical signature analysis
Author :
Bellini, Alberto ; Filippetti, Fiorenzo ; Franceschini, Giovanni ; Tassoni, Carla ; Kliman, Gerald B.
Author_Institution :
Dipt. di Ingegneria dell´´Inf., Parma Univ., Italy
Volume :
37
Issue :
5
fYear :
2001
Firstpage :
1248
Lastpage :
1255
Abstract :
The paper reports the comparison and performance evaluation of different diagnostic procedures that use input electric signals to detect and quantify rotor breakage in induction machines supplied by the mains. Besides the traditional current signature analysis based on one-phase current spectrum lines at frequencies (1±2s)f, the procedures based on analysis of the line at frequency 2sf in the spectrum respectively of electromagnetic torque, space vector current modulus and instantaneous power are considered. These last procedures have similar features and the comparison is developed on the basis of instantaneous torque. It is addressed that the speed ripple introduces two further terms in the instantaneous torque, decreasing the accuracy of the diagnosis. It is shown that there is a link between the angular displacement of the current sideband components at frequencies (1±2s)f. This allows a more correct quantitative evaluation of the fault and shows the superiority of the side band current components diagnostic procedure over the other proposed methods
Keywords :
electrical faults; fault diagnosis; induction motors; machine testing; machine theory; rotors; signal processing; torque; angular displacement; current sideband components; diagnosis accuracy; diagnostic procedures; electrical signature analysis; electromagnetic torque; induction motor broken bars evaluation; input electric signals; instantaneous power; instantaneous torque; mains power supply; one-phase current spectrum lines; performance evaluation; rotor breakage; space vector current modulus; speed ripple; Bars; Electromagnetic analysis; Frequency; Functional analysis; Induction machines; Induction motors; Industry Applications Society; Signal detection; Torque; Voltage;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/28.952499
Filename :
952499
Link To Document :
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