Diagnosis and fault detection in induction motor drive fed by PWM voltage source inverter
Joint Authors
Sufi, Y.
Bahi, Tahar
Harkat, M. F.
Rouaibia, R.
Source
Issue
Vol. 6, Issue 2 (30 Jun. 2010), pp.1-9, 9 p.
Publisher
Publication Date
2010-06-30
Country of Publication
Algeria
No. of Pages
9
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Topics
Abstract EN
The induction motor is one of the most used electric machines in variable speed system in the different field of industry and takes a particular interest for applications requiring high power and variable speed for its robust and simplicity.
The early detection for motor deterioration can increase plant availability and safety in an economical way.
Many publications have investigated the detection and diagnosis broken rotor bars in electrical machines supplied directly on line. However, much fewer research results have been published when the induction motor is fed by pulse width modulation (PWM) voltage source inverter which is the most common drive in the industry.
This paper presents a technique method based on spectral analysis of stator currents to detect broken rotor bars fault in the rotor when it is fed from PWM-VSI.
The obtained results show clearly the possibility of extracting signatures to detect and locate fault.
American Psychological Association (APA)
Sufi, Y.& Bahi, Tahar& Harkat, M. F.& Rouaibia, R.. 2010. Diagnosis and fault detection in induction motor drive fed by PWM voltage source inverter. Journal of Electrical Systems،Vol. 6, no. 2, pp.1-9.
https://search.emarefa.net/detail/BIM-169244
Modern Language Association (MLA)
Sufi, Y.…[et al.]. Diagnosis and fault detection in induction motor drive fed by PWM voltage source inverter. Journal of Electrical Systems Vol. 6, no. 2 (Jun. 2010), pp.1-9.
https://search.emarefa.net/detail/BIM-169244
American Medical Association (AMA)
Sufi, Y.& Bahi, Tahar& Harkat, M. F.& Rouaibia, R.. Diagnosis and fault detection in induction motor drive fed by PWM voltage source inverter. Journal of Electrical Systems. 2010. Vol. 6, no. 2, pp.1-9.
https://search.emarefa.net/detail/BIM-169244
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 9.
Record ID
BIM-169244