Electrical Modeling for Faults Detection Based on Motor Current Signal Analysis and Angular Approach - Archive ouverte HAL
Communication Dans Un Congrès Année : 2016

Electrical Modeling for Faults Detection Based on Motor Current Signal Analysis and Angular Approach

Résumé

Recently, Motor Current Signal Analysis (MCSA) appears as an effective tool for fault diagnosis in rotating machinery and proved to be sufficient for detecting localized mechanical faults in electromechanical systems operating in stationary conditions. In the case of non-stationary conditions, speed variations must be distinguished from angular velocity perturbation caused by the presence of a defect. In the framework of diagnosis of rotating machinery, angular approaches are well suited to make monitoring resistive to speed disturbances. This paper proposes a reformulation of the MCSA associated with angular approach in modeling multiphysic behavior. The resulting model described in this paper can be used to investigate of the influence of the Instantaneous Angular Speed (IAS) variations on the electrical responses of the whole rotating system.
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Dates et versions

hal-04707903 , version 1 (24-09-2024)

Identifiants

Citer

Aroua Fourati, Nabih Feki, Adeline Bourdon, Didier Rémond, Fakher Chaari, et al.. Electrical Modeling for Faults Detection Based on Motor Current Signal Analysis and Angular Approach. ADVANCES IN CONDITION MONITORING OF MACHINERY IN NON-STATIONARY OPERATIONS, Dec 2014, HEIDELBERGER PLATZ 3, D-14197 BERLIN, Germany. pp.15-25, ⟨10.1007/978-3-319-20463-5\_2⟩. ⟨hal-04707903⟩
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