Fault detection and diagnosis of squirrel cage asynchronous motor using a new COMSOL multiphysics software 6.0.

• Autorzy: Djaidir Benrabeh , Nail Bachir , Rouibah Abdelkader

Identyfikatory

DOI

10.29354/diag/176292

• Języki publikacji: EN

Abstrakty

EN

In this paper, the diagnosis of faults in squirrel cage asynchronous motor and experimental analysis process are presented. Currently there are several simulation tools, that lets users analyze and interpret the behavior of their devices. Based on this, there is a lot of researches that is working on developing models, to detect and classify 3-phase asynchronous motor faults, significantly in the early stages. This work proposed design and experimental analysis established in Comsol Multiphysics 6.0 , which implements finite element analysis software (FEM) for detecting and diagnosing broken bar rotors of this types motors and its practical application. In this case, the post processor of the COMSOL-Multiphysics makes it possible to visualize in 2D the various magnetic and mechanical quantities. Through the curves of the magnetic flux density and analysis distribution of the field with magnetic induction lines, we can draw some conclusions, where we proposed an strategy, for detecting and diagnosing faults consistent with the structure of the software.

Słowa kluczowe

EN

asynchronous motor; comsol multiphysics; diagnosis; fault detection; flux density

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2024
• Tom: Vol. 25, No. 1
• Strony: art. no. 2024102
• Opis fizyczny: Bibliogr. 23 poz., rys., tab.

Twórcy

autor

Djaidir Benrabeh

• Faculty of Science and Technology, University of Djelfa 17000 DZ, Algeria

• https://orcid.org/0000-0002-4305-7053

autor

Nail Bachir

• Faculty of Science and Technology, University of Djelfa 17000 DZ, Algeria

• https://orcid.org/0000-0002-2542-8391

autor

Rouibah Abdelkader

• Faculty of Science and Technology, University of Djelfa 17000 DZ, Algeria

• https://orcid.org/0009-0000-4854-5796

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).