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.