Condition Monitoring and Fault Diagnosis of Permanent Magnet Synchronous Motor Stator Winding Using the Continuous Wavelet Transform and Machine Learning
Applying the condition monitoring technology to industrial processes can help detect faults in time, minimise their impact and reduce the cost of unplanned downtime. Since the introduction of the Industry 4.0 paradigm, many companies have been investing in the development of such technology for driv...
Saved in:
| Main Authors: | Pietrzak Przemysław, Wolkiewicz Marcin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-01-01
|
| Series: | Power Electronics and Drives |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/pead-2024-0007 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Conceptual Approach to Permanent Magnet Synchronous Motor Turn-to-Turn Short Circuit and Uniform Demagnetization Fault Diagnosis
by: Yinquan Yu, et al.
Published: (2024-12-01) -
Design of Coil Patterns for an Axial Flux Permanent Magnet Synchronous Motor With PCB Stator
by: Dong-Woo Nam, et al.
Published: (2025-01-01) -
Turn‐to‐turn and phase‐to‐phase short circuit fault detection of wind turbine permanent magnet generator based on equivalent magnetic network modelling by wavelet transform approach
by: Mehrage Ghods, et al.
Published: (2024-09-01) -
Symmetrical Short-Circuit Behavior Prediction of Rare-Earth Permanent Magnet Synchronous Motors
by: Fabian Eichin, et al.
Published: (2024-11-01) -
Maximum torque per ampere control of permanent magnet/reluctance hybrid rotor dual stator synchronous motor
by: Shi Jin, et al.
Published: (2024-09-01)