Induction Motor Broken Rotor Bar Detection Based on Rotor Flux Angle Monitoring
Autor: | D. Nedeljkovic, Rastko Fiser, Vanja Ambrožič, Mitja Nemec, Klemen Drobnic |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Control and Optimization
Field (physics) Computer science Bar (music) 020209 energy squirrel cage motors udc:621.313.33 Energy Engineering and Power Technology 02 engineering and technology Signal lcsh:Technology Fault detection and isolation law.invention Quantitative Biology::Subcellular Processes modeliranje law Control theory 0202 electrical engineering electronic engineering information engineering induction motors izmenični pogoni Rotor flux Electrical and Electronic Engineering Engineering (miscellaneous) motor s kratkostično kletko Renewable Energy Sustainability and the Environment Rotor (electric) Oscillation lcsh:T 020208 electrical & electronic engineering fault diagnosis modeling AC motor drives asinhronski motorji diagnostika okvar Induction motor Energy (miscellaneous) |
Zdroj: | Energies, Vol 12, Iss 5, p 794 (2019) Energies, vol. 12, no. 5, 794, 2019. Energies; Volume 12; Issue 5; Pages: 794 |
ISSN: | 1996-1073 |
Popis: | 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. |
Databáze: | OpenAIRE |
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