Induction motor broken rotor bar detection based on rotor flux angle monitoring

Nemec, Mitja (author), Ambrožič, Vanja (author), Fišer, Rastko (author), Nedeljković, David (author), Drobnič, Klemen (author)

This paper presents a method for the detection of broken rotor bars in an induction motor. After introducing a simplified dynamic model of an induction motor with broken cage bars in a rotor field reference frame which allows for observation of its internal states, a fault detection algorithm is proposed. Two different motor estimation models are used, and the difference between their rotor flux angles is extracted. A particular frequency component in this signal appears only in the case of broken rotor bars. Consequently, the proposed algorithm is robust enough to load oscillations and/or machine temperature change, and also indicates the fault severity. The method has been verified at different operating points by simulations as well as experimentally. The fault detection is reliable even in cases where traditional methods give ambiguous verdicts.

• Language: English
• Keywords: fault diagnosis, induction motors, modeling, squirrel cage motors, AC motor drives
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FE - Faculty of Electrical Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2019
• Number of pages: 17 str.
• Numbering: Vol. 12, iss. 5, art. 794
• PID: 20.500.12556/RUL-131922
• UDC: 621.313.33
• ISSN on article: 1996-1073
• DOI: 10.3390/en12050794
• COBISS.SI-ID: 12376404
• Publication date in RUL: 06.10.2021

Record is a part of a journal

• Title: Energies
• Shortened title: Energies
• Publisher: Molecular Diversity Preservation International
• ISSN: 1996-1073
• COBISS.SI-ID: 518046745

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
• Licensing start date: 01.03.2019

Secondary language

• Language: Slovenian
• Keywords: diagnostika okvar, asinhronski motorji, modeliranje, motor s kratkostično kletko, izmenični pogoni

Projects

• Funder: ARRS - Slovenian Research Agency
• Project number: P2-0258
• Name: Pretvorniki električne energije in regulirani pogoni