لطفا منتظر بمانید ...
0% Complete
صفحه اصلی
/
The 5th International Conference on Electrical Machines and Drives
Diagnosing Partial Demagnetization and Static Eccentricity in Surface Mounted Permanent Magnet Synchronous Motor
نویسندگان :
Mahdi Nikzad
1
Zahra Nasiri-Gheidari
2
1- ُSharif University of Technology
2- ُSharif University of Technology
کلمات کلیدی :
Demagnetization،Surface-Mounted Permanent Magnet Synchronous Motors (SPMSM)،Eccentricity،Finite Element Method (FEM)
چکیده :
Fault diagnosis in Surface-Mounted Permanent Magnet Synchronous Motors (SPMSMs) is crucial for ensuring operational reliability in industrial and transportation systems. Among various failure modes, demagnetization and static eccentricity faults are two of the most common and potentially destructive conditions. Both faults distort the symmetry of the air-gap magnetic field, generating similar harmonic components in the electrical signals, which makes their discrimination challenging. This paper presents a comparative analysis of these fault types using three-dimensional finite element simulations. In the demagnetization fault model, the residual flux density of one rotor magnet is reduced by different levels, while in the static eccentricity model, the air-gap length is varied to represent different eccentricity severities. Stator current waveforms were obtained for both healthy and faulty conditions and analyzed using the Fast Fourier Transform (FFT) to extract harmonic signatures and calculate the Total Harmonic Distortion (THD). The results show that while THD can indicate the occurrence of a fault, it cannot distinguish between the two fault types. To differentiate them, the 5th-to-3rd harmonic amplitude ratio should be used as a diagnostic indicator.
لیست مقالات
لیست مقالات بایگانی شده
Comparison of Synchronous Reluctance and Inter-Modular Biased-Flux Stator Permanent Magnet Motors
Mohammad Amirkhani - Mohammad Afrank - Mojtaba Mirsalim
Reduction of End Effect in Linear Variable Reluctance Resolver
Reza Ghorbanalizade - Ramin Alipour-Sarabi - Seyyed Ali Mirabbasi
Deep CNN-Based Method for Detecting Mechanical and Rotor Bar Faults in Induction Motors
Seyedjavad Mirmohammad Meiguni - Abolfazl Vahedi - Akbar Rahide
Data-Driven Prediction of Average Torque, Phase Resistance, and Coil Turns in 6/4 Switched Reluctance Motors Using ANN and EMDLAB
Nasrin Majlesi - Ali Jamali-Frad - Tohid Sharifi
شناسایی جامع و هوشمند خطاهای ترکیبی در موتورهای القایی قفس سنجابی
سید حمید رفیعی - منصور اوجاقی - مهدی صبوری
A Comparative Study on the Performance of Battery Impedance Models in State-of-Charge Estimation
Mohammad Mahdi Gholami - Alireza Rezazadeh
A Novel Solid-State Fault Current Limiter Based on AC and DC Reactors for Using in Microgrids
Mehdi Firouzi - Morteza Hesami
High-Frequency Traveling Wave Modeling of Transformers for Frequency Response Analysis
Ali Esmaeilvandi - Mohammad Hamed Samimi - Amir Abbas Shayegani Akmal
مدلسازی موتور القایی در شرایط خطای اتصالکوتاه سیمبندی استاتور مبتنی بر تئوری تابع سیم پیچی و اثر اشباع
محمد ابراهیم وزیری سرشک
Recent progress on battery thermal management systems for Li-ion batteries
Behzad Heidarshenas - Yanjie Yuan
بیشتر
ثمین همایش، سامانه مدیریت همایش ها و جشنواره ها - نگارش 44.11.0