Development of a Fault-Tolerant Permanent Magnet Synchronous Motor Using a Machine-Learning Algorithm for a Predictive Maintenance Elevator
Elevators serve as essential vertical transportation systems for both passengers and heavy loads in modern buildings. Electromechanical lifts have become the dominant choice due to their performance advantages over hydraulic systems. A critical component of their drive mechanism is the Permanent Mag...
Saved in:
| Main Authors: | Vasileios I. Vlachou, Theoklitos S. Karakatsanis |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/13/5/427 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Review on Fault Diagnosis and Fault Tolerant Control for Permanent Magnet Electrical Machines
by: KE Siqin
Published: (2017-01-01) -
On-Demand Maintenance Method Using Fault Prediction to Reduce Elevator Entrapment
by: Tianshun Cui, et al.
Published: (2025-08-01) -
Fault-Tolerant Methods for Three-Level T-Type Inverter to Balance Neutral-Point Voltage
by: Duc-Tri do, et al.
Published: (2025-01-01) -
Robust Fault Classification in Permanent Magnet Synchronous Machines Under Dynamic and Noisy Conditions
by: Mikal Laursen, et al.
Published: (2025-01-01) -
Fault Diagnosis and Tolerant Control of Current Sensors Zero-Offset Fault in Multiphase Brushless DC Motors Utilizing Current Signals
by: Wei Chen, et al.
Published: (2025-04-01)