کنفرانس بین المللی ماشین و محرکه های الکتریکی

صفحه اصلی / The 5th International Conference on Electrical Machines and Drives

Explainable Machine Learning for Multiclass Fault Diagnosis in Inverter-Driven Permanent Magnet Synchronous Motors

نویسندگان :

Hooman Aminzadeh Vahedi¹ Mahsa Panahi Azar²

1- دانشگاه تهران 2- دانشگاه تهران

کلمات کلیدی :

Permanent Magnet Synchronous Motor،Fault Diagnosis،Explainable Artificial Intelligence،Random Forest،Condition Monitoring

چکیده :

Despite their high efficiency and torque density driving widespread use in renewable energy and electric mobility, Permanent Magnet Synchronous Motors (PMSMs) can suffer significant performance and reliability degradation from inverter and machine faults. This paper employs an explainable machine learning framework for multiclass fault diagnosis in inverter-driven Permanent Magnet Synchronous Motors (PMSMs). A Random Forest classifier is paired with two model-agnostic explanations: Permutation Importance and Individual Conditional Expectation (ICE) and delivers both accuracy and transparency with its introduced pipeline. The method is evaluated on a public dataset of 10,892 samples spanning nine operating conditions (normal, open/short-circuit, and overheating) achieving robust classification and clear sensor-level insights. The trained model indicates that thermal features dominate discrimination, while electrical variables contribute less under the tested conditions. The approach yields actionable explanations suitable for real-time condition monitoring and maintenance of PMSM drives.

لیست مقالات

لیست مقالات بایگانی شده

Study of a Modular Consequent-Pole Flux Reversal Motor with the Synergy of Biased-Flux Effect

Mohammad Reza Sarshar - Mohammad Afrank - Mohammad Amin Jalali Kondelaji - Mojtaba Mirsalim - Javad Shokrollahi Moghani

Performance Investigation of a Novel Hybrid Reluctance Motor

Ali Harooni - Aghil Ghaheri - Sadegh Mollaei Saghin - Ebrahim Afjei

Thermal Behavior-Informed Inter-Turn Fault Detection of PMSMs using Explainable AI in an Attention-Based Deep Learning Framework

Amir Hossein Baharvand - Sina Hossein Beigi Fard - Amir Hossein Poursaeed - Behrooz Rezaeealam - Meysam Doostizadeh

A Novel Structure of Shaped-Magnet Synchrounos Machines Based on Halbach Array in Radial and Axial Axes

Soheil Yousefnejad - Davood Kheibargir

طراحی نوسان گر آهنربای دائم لوله ای خطی با ساختارهای مختلف جهت افزایش نیروی رانش

حمیدرضا رفیعی - عباس شیری

A New Single-Phase Integrated Battery Charger for Electric Vehicles Using Open-Winding PMSM Drive and Applying Model Predictive Control

Mohammadjavad Golalipour - Mahdi S. Mousavi - S. Alireza Davari - Mokhtar Aly - Freddy Flores-Bahamonde - Jose Rodriguez

Fast Charging Stations and Battery Swap Stations for Electric Vehicles: A Decision-Making Model

Mohammad Mahdi Gholami - Morteza Kheradmandi - Maziar Karimi

Performance Comparison of Different Methods of Torque Ripple Reduction for Permanent Magnet-assisted Synchronous Reluctance Motor

Amir Hosein Amiri - Seyed Ehsan Abdollahi - Saeed Hasanzadeh

شناسایی جامع و هوشمند خطاهای ترکیبی در موتورهای القایی قفس سنجابی

سید حمید رفیعی - منصور اوجاقی - مهدی صبوری

Robust Wireless Power Transfer by Self-Oscillating Controlled Inverter and Circular Pads

Alireza Eikani - Mohammad Amirkhani - Hossein Jafari - Sadegh Vaez-Zadeh - Mojtaba Mirsalim - Davood Arab Khaburi

بیشتر