Abstract
Induction motors are used in a variety of
industrial applications where frequent startups are required. In
those cases, it is necessary to apply sophisticated signal
processing analysis methods in order to reliably follow the time
evolution of the fault-related harmonics in the signal. In this
paper, the zero-sequence current (ZSC) is analysed using the
high-resolution spectral method of multiple signal classification
(MUSIC). The analysis of the ZSC signal has proved to have
several advantages over the analysis of a single-phase current
waveform. Experimentation is performed on a healthy motor,
a motor with one broken rotor bar, and a motor with two
broken rotor bars. The analysis results are satisfactory since the
proposed methodology reliably detects the broken rotor bar
fault and its severity, both during transient and steady state
operation of the induction motor.
| Original language | English |
|---|---|
| Pages | 2881-2886 |
| DOIs | |
| Publication status | Published - 3 Nov 2016 |
| Event | XXIIth International Conference on Electrical Machines - Lausanne, Switzerland Duration: 4 Sept 2016 → 7 Sept 2016 |
Conference
| Conference | XXIIth International Conference on Electrical Machines |
|---|---|
| Abbreviated title | ICEM'2016 |
| Country/Territory | Switzerland |
| City | Lausanne |
| Period | 4/09/16 → 7/09/16 |
Bibliographical note
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Keywords
- Broken bar
- Fault diagnosis
- Induction
- motor
- MUSIC
- ZSC