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 …
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 …
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
Induction machines (IMs) play a critical role in various industrial processes but are
susceptible to degenerative failures, such as broken rotor bars. Effective diagnostic …
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
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 …
modulations by the fundamental frequency, appearing as sidebands in the motor current …
The role of fault detection and diagnosis in induction motors
Induction Motors (IM) aim to enhance interface technologies for more safety, reliability,
productivity, and greener operations. In addition, malfunction monitoring functionalities are …
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) …
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
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 …
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 …
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 …
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
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 …
considerably. Inverter supplies enable effective and robust control of induction motors in …