Sensorless speed estimation for the diagnosis of induction motors via MCSA. Review and commercial devices analysis

J Bonet-Jara, A Quijano-Lopez, D Morinigo-Sotelo… - Sensors, 2021 - mdpi.com
Sensorless speed estimation has been extensively studied for its use in control schemes.
Nevertheless, it is also a key step when applying Motor Current Signature Analysis to …

Mixed eccentricity fault detection for induction motors based on time synchronous averaging of vibration signals

R Alimardani, A Rahideh, SH Kia - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article presents a method based on vibration signals to diagnose rotor mixed
eccentricity faults in three-phase squirrel cage induction motors (SCIMs). Rotor eccentricity …

A novel indicator-based online diagnostics technique of interturn short-circuit faults in synchronous reluctance machines

K Laadjal, F Bento, K Henriques… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
In recent years, the adoption of synchronous reluctance machine (SynRM) drives for safety-
critical equipment has witnessed notorious growth. The difficulties inherent to monitoring …

Induction machine model with space harmonics for fault diagnosis based on the convolution theorem

A Sapena-Bano, J Martinez-Roman… - International Journal of …, 2018 - Elsevier
Fault diagnosis of induction machines (IMs) requires a fast model of the machine, for
adjusting fault thresholds in data-driven diagnostic methods, for computing the residuals in …

Induction motors condition monitoring system with fault diagnosis using a hybrid approach

HC Chang, YM Jheng, CC Kuo, YM Hsueh - Energies, 2019 - mdpi.com
This study develops a condition monitoring system, which includes operating condition
monitoring (OCM) and fault diagnosis analysis (FDA). The OCM uses a vibration detection …

Three-phase induction motors online protection against unbalanced supply voltages

K Laadjal, M Sahraoui, A Alloui, AJM Cardoso - Machines, 2021 - mdpi.com
Three-phase induction motors (IMs) are the main workhorse in industry due to their many
advantages as compared to other types of industrial motors. However, the efficiency and …

Induction machine model with space harmonics for the diagnosis of rotor eccentricity, based on the convolution theorem

A Sapena-Bano, J Martinez-Roman… - International Journal of …, 2020 - Elsevier
Condition based maintenance (CBM) systems of induction machines (IMs) require fast and
accurate models that can reproduce the fault related harmonics generated by different kinds …

Induction motor broken rotor bar detection based on rotor flux angle monitoring

M Nemec, V Ambrožič, R Fišer, D Nedeljković… - Energies, 2019 - mdpi.com
This paper presents a method for the detection of broken rotor bars in an induction motor.
After introducing a simplified dynamic model of an induction motor with broken cage bars in …

Unified modeling technique for axially uniform and nonuniform eccentricity faults in three-phase squirrel cage induction motors

M Ojaghi, M Mohammadi - IEEE Transactions on Industrial …, 2017 - ieeexplore.ieee.org
Many mechanical faults cause eccentricity in squirrel cage induction motors (SCIMs), so it is
reasonable to design and implement reliable eccentricity fault diagnosis systems for the …

Machine Learning Based Method for Impedance Estimation and Unbalance Supply Voltage Detection in Induction Motors

K Laadjal, AMR Amaral, M Sahraoui, AJM Cardoso - Sensors, 2023 - mdpi.com
Induction motors (IMs) are widely used in industrial applications due to their advantages
over other motor types. However, the efficiency and lifespan of IMs can be significantly …