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

Mina B Abd-El-Malek; Ahmed K Abdelsalam; Ola E Hassan

doi:10.1016/j.isatra.2018.07.020

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

ISA Trans. 2018 Sep:80:439-457. doi: 10.1016/j.isatra.2018.07.020. Epub 2018 Aug 6.

Authors

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

Affiliations

¹ Dept. of Engineering Mathematics and Physics, Faculty of Engineering, Alexandria University, Egypt. Electronic address: minab@aucegypt.edu.
² Electrical Engineering Dept., College of Engineering, Arab Academy for Science and Technology (AAST), Alexandria, Egypt. Electronic address: ahmed.kadry@aast.edu.
³ Dept. of Engineering Mathematics and Physics, Faculty of Engineering, Alexandria University, Egypt; Zewail City of Science and Technology, University of Science and Technology, Giza, Egypt. Electronic address: oabdelaziz@zewailcity.edu.eg.

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

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.

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