Extraction of Frequency Information for the Reliable Screening of Rotor Electrical Faults Via Torque Monitoring in Induction Motors

Conventional diagnostic methods applied to industrial induction motors, such as the motor current signature analysis, may lead to false-negative diagnostic outcomes in several cases. Such a case consists of the nonadjacent rotor breakages occurrence. Various alternatives with advanced digital signal...

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Bibliographic Details
Published in:IEEE transactions on industry applications 2021-11, Vol.57 (6), p.5949-5958
Main Authors: Spyropoulos, Dionysios, Panagiotou, Panagiotis A., Arvanitakis, Ioannis, Mitronikas, Epaminondas, Gyftakis, Konstantinos
Format: Article
Language:English
Subjects:
Algorithms
Bars
Diagnostic systems
Digital signal processing
Electrical faults
Fault diagnostics
frequency extraction
Harmonic analysis
Induction motors
Magnetic flux
Monitoring
Reliability
rotor faults
Rotors
Screening
Signal processing
Signature analysis
Steady state
Torque
torque analysis
Transient analysis
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Summary:Conventional diagnostic methods applied to industrial induction motors, such as the motor current signature analysis, may lead to false-negative diagnostic outcomes in several cases. Such a case consists of the nonadjacent rotor breakages occurrence. Various alternatives with advanced digital signal processing algorithms have been proposed that concern the monitoring and analysis of the stator current, or the stray magnetic flux, of the motor during the transient start-up. Those methods work efficiently in most cases; however, the real issue is that most large industrial motors have very few start-ups during their long operating life time. In that sense, it is not feasible to implement the transient analysis-based methods. This article addresses an alternative methodology that solves this issue for induction motors at steady state. The method relies on a two-stage signal processing technique for frequency information tracking and extraction, where the higher harmonic index of the motor's torque around the sixth harmonic is evaluated during each stage. By the results of the method, it is evident that the fault and its severity level can be reliably detected at the steady state. The method's efficacy is proven valid even for challenging cases of large industrial motors, where the likelihood of a false diagnostic decision is increased during the signature screening.
ISSN:0093-9994
1939-9367
DOI:10.1109/TIA.2021.3112137