Literature DB >> 30093104

Novel approach using Hilbert Transform for multiple broken rotor bars fault location detection for three phase induction motor.

Mina B Abd-El-Malek1, Ahmed K Abdelsalam2, Ola E Hassan3.   

Abstract

This paper presents a new approach to detect the location of multiple broken rotor bars (MBRBs) in induction motor (IM) drive, running under no load and full load conditions using direct in and variable frequency drives. This technique is based on earlier work of location detection of one broken rotor bar. The techniques are tested for various fault severity levels so the detection of the exact location of the fault at early stage helps to reach sufficient time maintenance. In this paper, the authors used Hilbert Transform to extract the fault signature from the stator current envelope which is the low frequency component. Then statistical analysis is applied which produce a formula that is used to get the exact location of the fault in IM rotor.
Copyright © 2018 ISA. Published by Elsevier Ltd. All rights reserved.

Keywords:  Broken rotor bar (BRB); Fault detection; Hilbert Transform (HT) and motor current signature analysis (MCSA); Induction motor (IM)

Year:  2018        PMID: 30093104     DOI: 10.1016/j.isatra.2018.07.020

Source DB:  PubMed          Journal:  ISA Trans        ISSN: 0019-0578            Impact factor:   5.468


  2 in total

1.  A Visual Fault Detection Method for Induction Motors Based on a Zero-Sequence Current and an Improved Symmetrized Dot Pattern.

Authors:  Liangyuan Huang; Jihong Wen; Yi Yang; Ling Chen; Guoji Shen
Journal:  Entropy (Basel)       Date:  2022-04-28       Impact factor: 2.738

2.  Rotor Fault Diagnosis Based on Characteristic Frequency Band Energy Entropy and Support Vector Machine.

Authors:  Bin Pang; Guiji Tang; Chong Zhou; Tian Tian
Journal:  Entropy (Basel)       Date:  2018-12-05       Impact factor: 2.524

  2 in total

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