2020/11/09 by Naourez Ben Hadj, Hadj, Naourez Ben, Manel Krichen +3
Engineering · #Electric Motor Design and Analysis #Engineering Diagnostics and Reliability #FOS: Electrical engineering #Machine Fault Diagnosis Techniques #Non-Destructive Testing Techniques #Signal Processing (eess.SP) #eess.SP #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2011.04353
19 pages, 8 figures
arxiv created 2020/11/09 · openalex publication_date 2020/11/09 · arxiv updated 2020/11/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Today, interest in automotive applications notably Hybrid Electric Vehicles (HEV) has risen due to environmental concerns and the modern society's energetic dependence. Consequently, it is necessary to study and implement in these vehicle fault diagnosis systems which allow them to be more reliable and safe enhancing its sustainability. Several research works have been focused on Fault Diagnosis approaches for electric machines due to it's influence in the automotive system availability. Our work fits into this context, firstly with a review of faults and diagnosis methods of the permanent magnet synchronous motor (PMSM) and secondly by using analytical-numerical approach based on finite element method and signal processing (FEMM-MATLAB coupling) in order to detect and analysis of eccentricity and partial demagnetization faults for surface mounted PMSM. So, this work mainly includes fault performance, harmonic component and signal spectrum characteristics, timefrequency analysis technique. The outcomes obtained are further compared with the motor characteristics under healthy operation to have distinct detection to faults.