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Methods of condition monitoring and fault detection for electrical machines
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 …
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
Due to their efficiency and control capabilities, induction motors fed with inverters have
become prevalent in various industrial applications. However, ensuring the reliable …
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
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) …
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
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 …
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 …
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
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 …
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 …
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
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 …
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 …
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
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 …
industrial drives and home appliances. The induction motor speed is often used to monitor …