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Motor Current Signature Analysis of a Variable Speed Drive for Motor Fault Diagnosis

Alwodai, Ahmed, Gu, Fengshou and Ball, Andrew (2011) Motor Current Signature Analysis of a Variable Speed Drive for Motor Fault Diagnosis. In: Proceedings of the 24th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2011). COMADEM, pp. 884-892. ISBN 0954130723

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    Abstract

    The induction motor is one of the most used electric machines in the industry because of its strong and simplicity. This paper investigates the performance of conventional techniques such as sideband analysis in detecting broken rotor bars when the motor is fed from a common pulse width modulation voltage source inverter PWM-VSI drive for variable speed drives. The phase current signals are obtained under both the slip compensation mode and non-compensation mode. The spectra are compared between the healthy and faulty motors in the frequency domain. For the non-slip compensation, it has shown clear sidebands of the twice slip frequency which allows the detection of the broken bar and hence rotor faults under different speeds and higher loads. However, for slip compensation, the sideband pattern does not exist anymore and hence new features have to be investigated for fault detection when motors operate under these operating modes.

    Item Type: Book Chapter
    Subjects: T Technology > T Technology (General)
    T Technology > TJ Mechanical engineering and machinery
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Automotive Engineering Research Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
    School of Computing and Engineering > High-Performance Intelligent Computing
    School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
    Related URLs:
    Depositing User: Cherry Edmunds
    Date Deposited: 21 Jul 2011 16:02
    Last Modified: 07 Nov 2014 15:29
    URI: http://eprints.hud.ac.uk/id/eprint/11045

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