Physical variable measurement techniques for fault detection in electric motors

S Aguayo-Tapia, G Avalos-Almazan… - Energies, 2023 - mdpi.com
Induction motors are widely used worldwide for domestic and industrial applications. Fault
detection and classification techniques based on signal analysis have increased in …

Prognostics and health management for induction machines: a comprehensive review

C Huang, S Bu, HH Lee, KW Chan… - Journal of Intelligent …, 2024 - Springer
Induction machines (IMs) are utilized in different industrial sectors such as manufacturing,
transportation, transmission, and energy due to their ruggedness, low cost, and high …

A comparative analysis of deep learning convolutional neural network architectures for fault diagnosis of broken rotor bars in induction motors

K Barrera-Llanga, J Burriel-Valencia, Á Sapena-Bañó… - Sensors, 2023 - mdpi.com
Induction machines (IMs) play a critical role in various industrial processes but are
susceptible to degenerative failures, such as broken rotor bars. Effective diagnostic …

Broken rotor bar fault detection of induction machine based on rectified orthogonal axes of stator current

S Hajnayeb, MH Marzebali… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In induction machines (IMs), the characteristic frequency of broken rotor bars (BRBs) shows
modulations by the fundamental frequency, appearing as sidebands in the motor current …

The role of fault detection and diagnosis in induction motors

M Khaleel, M ŞİMŞİR, Z Yusupov, N Yasser… - Int. J. Electr. Eng. and …, 2023 - ijees.org
Induction Motors (IM) aim to enhance interface technologies for more safety, reliability,
productivity, and greener operations. In addition, malfunction monitoring functionalities are …

Detection of Broken Rotor Bars in Cage Induction Motors Using Machine Learning Methods

LP Chisedzi, M Muteba - Sensors, 2023 - mdpi.com
In this paper, the performance of machine learning methods for squirrel cage induction
motor broken rotor bar (BRB) fault detection is evaluated. Decision tree classification (DTC) …

Hybrid Model-Based Fuzzy Logic Diagnostic System for Stator Faults in Three-Phase Cage Induction Motors

RAK Aswad, BMH Jassim, B Zahawi, S Gadoue - IEEE Access, 2023 - ieeexplore.ieee.org
The widespread use of three-phase cage induction motors in so many critical industrial,
commercial and domestic applications means that there is a real need to develop online …

Fault diagnosis in asynchronous motors based on an optimal deep bidirectional long short-term memory networks

B Xu, H Li, Y Liu, F Zhou, B Yan - Measurement Science and …, 2023 - iopscience.iop.org
Fault diagnosis of asynchronous motors has become a pressing need in the metallurgical
industry. Due to the complex structure of asynchronous motors, fault types and fault …

The Neutral Voltage Difference Signal as a Means of Investigating Eccentricity and Demagnetization Faults in an AFPM Synchronous Generator

AC Barmpatza - Machines, 2023 - mdpi.com
This article investigates the neutral voltage difference signal, VNO signal, for fault diagnosis.
The aforementioned signal is the signal of the voltage between the common star point of the …

Non-Intrusive Efficiency Estimation of Inverter-Fed Induction Motors

M Chirindo, J Mushenya, MA Khan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The use of inverter supplies over sinusoidal supplies for induction motors is growing
considerably. Inverter supplies enable effective and robust control of induction motors in …