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Inventi Impact - Artificial Intelligence

Articles

  • Inventi:eai/14583/14
    PARKS-HILBERT TRANSFORM BASED FAULT CLASSIFICATION OF INDUCTION MOTOR
    A D Tekade*, A U Jawadekar

    The aim of this paper was to analyse the different faults occurring in three phase induction motor such as inter-turn short circuit and bearing faults. This paper proposes Parks-Hilbert transformation in combination to detect inter-turn short circuit as well as bearing faults. The net efficiency of this method for 3ø induction motor was more as compared to the previous methods. This method effectively distinguishes inter-turn short circuit condition in stator as well as inner race and outer race defects in the bearing. ANN was used to classify the listed faults. It produces excellent capabilities in fault classification process.

    How to Cite this Article
    A D Tekade, A U Jawadekar. Parks- Hilbert Transform Based Fault Classification of Induction Motor. Inventi Impact: Artificial Intelligence, 2015(1):1- 6, 2015.
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