Abstract
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.
Original language | English |
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Pages (from-to) | 5949-5958 |
Number of pages | 10 |
Journal | IEEE Transactions on Industry Applications |
Volume | 57 |
Issue number | 6 |
Early online date | 13 Sept 2021 |
DOIs | |
Publication status | Published - Nov 2021 |
Bibliographical note
Publisher Copyright:IEEE
Keywords
- Fault diagnostics
- frequency extraction
- induction motors
- rotor faults
- torque analysis
ASJC Scopus subject areas
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering