Fault Diagnosis in the Slip–Frequency Plane of Induction Machines Working in Time-Varying Conditions
Motor current signature analysis (MCSA) is a fault diagnosis method for induction machines (IMs) that has attracted wide industrial interest in recent years. It is based on the detection of the characteristic fault signatures that arise in the current spectrum of a faulty induction machine. Unfortun...
Main Authors: | Ruben Puche-Panadero, Javier Martinez-Roman, Angel Sapena-Bano, Jordi Burriel-Valencia, Martin Riera-Guasp |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/12/3398 |
Similar Items
-
Multi-Band Frequency Window for Time-Frequency Fault Diagnosis of Induction Machines
by: Jordi Burriel-Valencia, et al.
Published: (2019-08-01) -
A Review of Techniques Used for Induction Machine Fault Modelling
by: Carla Terron-Santiago, et al.
Published: (2021-07-01) -
Cost-Effective Reduced Envelope of the Stator Current via Synchronous Sampling for the Diagnosis of Rotor Asymmetries in Induction Machines Working at Very Low Slip
by: Jordi Burriel-Valencia, et al.
Published: (2019-08-01) -
Analytical Model of Induction Machines with Multiple Cage Faults Using the Winding Tensor Approach
by: Javier Martinez-Roman, et al.
Published: (2021-07-01) -
Time-Frequency Analysis Based on Minimum-Norm Spectral Estimation to Detect Induction Motor Faults
by: Tomas A. Garcia-Calva, et al.
Published: (2020-08-01)