DocumentCode :
1762485
Title :
Combination of Noninvasive Approaches for General Assessment of Induction Motors
Author :
Picazo-Rodenas, Maria J. ; Antonino-Daviu, Jose ; Climente-Alarcon, Vicente ; Royo-Pastor, Rafael ; Mota-Villar, Ariel
Author_Institution :
Inst. de Ing. Energetica, Univ. Politec. de Valencia, Valencia, Spain
Volume :
51
Issue :
3
fYear :
2015
fDate :
May-June 2015
Firstpage :
2172
Lastpage :
2180
Abstract :
There exists no single quantity able to diagnose all possible failures taking place in induction motors. Currents and vibrations monitoring are rather common in the industry, but each of these quantities alone can only detect some specific failures. Moreover, even for the specific faults that a quantity is supposed to detect, many problems may rise. As a consequence, a reliable and general diagnosis system cannot rely on a single quantity. On the other hand, it would be desirable to rely on quantities that can be measured in a noninvasive way, which is a crucial requirement in many industrial applications. This paper proposes a twofold method to detect electromechanical failures in induction motors. The method relies on analysis of currents (steady state + transient) combined with analysis of infrared data captured by using appropriate cameras. Each of these noninvasive techniques may provide complementary information that may be very useful to diagnose an enough wide range of failures. In the present paper, the detection of three illustrative faults is analyzed: broken rotor bars, cooling system problems and bearing failures. The results show the potential of the methodology that may be particularly suitable for large, expensive motors, where the prevention of eventual failures justifies the costs of such system, due to the catastrophic implications that these unexpected faults may have.
Keywords :
induction motors; rotors; bearing failures; broken rotor bars; complementary information; cooling system problems; electromechanical failures; general assessment; general industrial applications; induction motors; infrared data; noninvasive approaches; Bars; Harmonic analysis; Induction motors; Reliability; Rotors; Time-frequency analysis; Transient analysis; Bearing faults; Induction machines; bearing faults; fault diagnosis; induction machines; infrared analysis; rotor asymmetries;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/TIA.2014.2382880
Filename :
6990579
Link To Document :
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