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

Dionysios V. Spyropoulos, Panagiotis A. Panagiotou, Ioannis Arvanitakis, Epaminondas Mitronikas, Konstantinos N. Gyftakis

    Research output: Contribution to journalArticlepeer-review

    6 Citations (Scopus)
    81 Downloads (Pure)


    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 languageEnglish
    Pages (from-to)5949-5958
    Number of pages10
    JournalIEEE Transactions on Industry Applications
    Issue number6
    Early online date13 Sept 2021
    Publication statusPublished - Nov 2021

    Bibliographical note

    Publisher Copyright:


    • 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


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