Methods of condition monitoring and fault detection for electrical machines

K Kudelina, B Asad, T Vaimann, A Rassõlkin… - Energies, 2021 - mdpi.com
Nowadays, electrical machines and drive systems are playing an essential role in different
applications. Eventually, various failures occur in long-term continuous operation. Due to the …

[HTML][HTML] Inverter-fed motor drive system: A systematic analysis of condition monitoring and practical diagnostic techniques

MU Sardar, T Vaimann, L Kütt, A Kallaste, B Asad… - Energies, 2023 - mdpi.com
Due to their efficiency and control capabilities, induction motors fed with inverters have
become prevalent in various industrial applications. However, ensuring the reliable …

[HTML][HTML] Bearing fault diagnosis for an induction motor controlled by an artificial neural network—Direct torque control using the Hilbert transform

A El Idrissi, A Derouich, S Mahfoud, N El Ouanjli… - Mathematics, 2022 - mdpi.com
Motor Current Signature Analysis (MCSA) is a popular method for the detection of faults in
electric motor drives, particularly in Induction Machines (IMs). For Bearing Defects (BDs) …

Condition monitoring and fault detection in small induction motors using machine learning algorithms

S Sobhi, MH Reshadi, N Zarft, A Terheide, S Dick - Information, 2023 - mdpi.com
Electric induction motors are one of the most important and widely used classes of machines
in modern industry. Large motors, which are commonly process-critical, will usually have …

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 …

[HTML][HTML] Bearing faults diagnosis by current envelope analysis under direct torque control based on neural networks and fuzzy logic—a comparative study

A El Idrissi, A Derouich, S Mahfoud, N El Ouanjli… - Electronics, 2024 - mdpi.com
Diagnosing bearing defects (BFs) in squirrel cage induction machines (SCIMs) is essential
to ensure their proper functioning and avoid costly breakdowns. This paper presents an …

FPGA-Microprocessor based Sensor for faults detection in induction motors using time-frequency and machine learning methods

RA Osornio-Rios, I Cueva-Perez… - Sensors, 2024 - mdpi.com
Induction motors (IM) play a fundamental role in the industrial sector because they are
robust, efficient, and low-cost machines. Changes in the environment, installation errors, or …

A current spectrum-based algorithm for fault detection of electrical machines using low-power data acquisition devices

B Asad, HA Raja, T Vaimann, A Kallaste, R Pomarnacki… - Electronics, 2023 - mdpi.com
An algorithm to improve the resolution of the frequency spectrum by detecting the number of
complete cycles, removing any fractional components of the signal, signal discontinuities …

[HTML][HTML] Analytical model of induction machines with multiple cage faults using the winding tensor approach

J Martinez-Roman, R Puche-Panadero… - Sensors, 2021 - mdpi.com
Induction machines (IMs) are one of the main sources of mechanical power in many
industrial processes, especially squirrel cage IMs (SCIMs), due to their robustness and …

Measurement of the speed of induction motors based on vibration with a smartphone

P Paramo-Balsa, JM Roldan-Fernandez… - Applied Sciences, 2022 - mdpi.com
Induction motors are key pieces of equipment in today's society, powering a variety of
industrial drives and home appliances. The induction motor speed is often used to monitor …