Condition Monitoring of Induction Machines: Quantitative Analysis and Comparison
In this paper, a diagnostic procedure for rotor bar faults in induction motors is presented, based on the Hilbert and discrete wavelet transforms. The method is compared with other procedures with the same data, which are based on time–frequency analysis, frequency analysis and time domain. The resu...
Main Authors: | Michele Sintoni, Elena Macrelli, Alberto Bellini, Claudio Bianchini |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/2/1046 |
Similar Items
-
Fault Diagnosis in the Slip–Frequency Plane of Induction Machines Working in Time-Varying Conditions
by: Ruben Puche-Panadero, et al.
Published: (2020-06-01) -
Transient Modeling and Recovery of Non-Stationary Fault Signature for Condition Monitoring of Induction Motors
by: Bilal Asad, et al.
Published: (2021-03-01) -
Accurate Criteria for Broken Bar Detection in Induction Motors Based on the Wavelet (Packet) Transform
by: Jose Alfonso Antonino-Daviu, et al.
Published: (2024-04-01) -
Condition Monitoring and Fault Diagnosis of Permanent Magnet Synchronous Motor Stator Winding Using the Continuous Wavelet Transform and Machine Learning
by: Pietrzak Przemysław, et al.
Published: (2024-01-01) -
Spectrum Analysis for Condition Monitoring and Fault Diagnosis of Ventilation Motor: A Case Study
by: Noman Shabbir, et al.
Published: (2021-04-01)