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

Abstract

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.

Keywords

diagnostika okvar;asinhronski motorji;modeliranje;motor s kratkostično kletko;izmenični pogoni;fault diagnosis;induction motors;modeling;squirrel cage motors;AC motor drives;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FE - Faculty of Electrical Engineering
UDC: 621.313.33
COBISS: 12376404 Link will open in a new window
ISSN: 1996-1073
Views: 183
Downloads: 60
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary keywords: diagnostika okvar;asinhronski motorji;modeliranje;motor s kratkostično kletko;izmenični pogoni;
Type (COBISS): Article
Pages: str. 1-17
Volume: ǂno. ǂ5
Issue: 794
Chronology: Mar. 2019
DOI: 10.3390/en12050794
ID: 13659361