Comprehensive dataset for fault detection and diagnosis in inverter-driven permanent magnet synchronous motor systemszenodo
This work introduces a new, comprehensive dataset for Fault Detection and Diagnosis (FDD) in inverter-driven Permanent Magnet Synchronous Motor (PMSM) systems. Despite the increasing significance of AI-driven FDD techniques, the domain suffers from a lack of publicly accessible, real-world datasets...
Saved in:
Main Authors: | Abdelkabir Bacha, Ramzi El Idrissi, Khalid Janati Idrissi, Fatima Lmai |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-02-01
|
Series: | Data in Brief |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925000186 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A data-driven intelligent fault diagnosis framework for permanent magnet in PMSM
by: Huizhen Wang, et al.
Published: (2025-02-01) -
Experimental Implementation of an Algorithm for Real Time Compensation of Phase Current Sensors DC Offset in Field Oriented Controlled PMSM Drives
by: Ciro Attaianese, et al.
Published: (2025-01-01) -
Fuzzy self-tuning fractional order PD permanent magnet synchronous motor speed control based on torque compensation
by: Dejun Liu, et al.
Published: (2025-01-01) -
PID CONTROLLER FOR SPEED CONTROL OF PMSM BASED ON MAYFLY OPTIMIZATION ALGORITHM
by: Fatimah F. Jaber
Published: (2025-02-01) -
On absolutely invertibles
by: Francisco Javier García-Pacheco, et al.
Published: (2024-12-01)