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] Fault diagnosis for induction generator-based wind turbine using ensemble deep learning techniques
Fault diagnosis in induction machines (IM) require effective detection at early stages to
prevent permanent machine failure. This requires fast sensing of disturbances as well as …
prevent permanent machine failure. This requires fast sensing of disturbances as well as …
Application of machine learning to a medium Gaussian support vector machine in the diagnosis of motor bearing faults
SL Lin - Electronics, 2021 - mdpi.com
In recent years, artificial intelligence technology has been widely used in fault prediction and
health management (PHM). The machine learning algorithm is widely used in the condition …
health management (PHM). The machine learning algorithm is widely used in the condition …
On-line detection and classification of PMSM stator winding faults based on stator current symmetrical components analysis and the KNN algorithm
P Pietrzak, M Wolkiewicz - Electronics, 2021 - mdpi.com
The significant advantages of permanent magnet synchronous motors, such as very good
dynamic properties, high efficiency and power density, have led to their frequent use in …
dynamic properties, high efficiency and power density, have led to their frequent use in …
Effectiveness analysis of PMSM motor rolling bearing fault detectors based on vibration analysis and shallow neural networks
Permanent magnet synchronous motors (PMSMs) are becoming more popular, both in
industrial applications and in electric and hybrid vehicle drives. Unfortunately, like the …
industrial applications and in electric and hybrid vehicle drives. Unfortunately, like the …
Intelligent fault diagnosis and forecast of time-varying bearing based on deep learning VMD-DenseNet
SL Lin - Sensors, 2021 - mdpi.com
Rolling bearings are important in rotating machinery and equipment. This research
proposes variational mode decomposition (VMD)-DenseNet to diagnose faults in bearings …
proposes variational mode decomposition (VMD)-DenseNet to diagnose faults in bearings …
Effectiveness of neural fault detectors of permanent magnet synchronous motor trained with symptoms from field-circuit modeling
M Skowron, M Krzysztofiak… - IEEE Access, 2022 - ieeexplore.ieee.org
Permanent magnet synchronous motors (PMSMs) are increasingly used in industrial drive
applications. However, these motors can also undergo various failures, causing production …
applications. However, these motors can also undergo various failures, causing production …
[HTML][HTML] A novel dataset and lightweight detection system for broken bars induction motors using optimizable neural networks
WA Elhaija, QA Al-Haija - Intelligent Systems with Applications, 2023 - Elsevier
Broken rotor bars (BRBs) in induction motors (IMs) are a common kind of failure and one of
the most difficult to detect since the induction motor continues to run properly in the absence …
the most difficult to detect since the induction motor continues to run properly in the absence …
[HTML][HTML] Convolutional Neural Networks Based on Resonance Demodulation of Vibration Signal for Rolling Bearing Fault Diagnosis in Permanent Magnet …
L Ding, H Guo, L Bian - Energies, 2024 - mdpi.com
Permanent magnet synchronous motors (PMSMs) are widely used due to their unique
advantages. Their transmission system mainly relies on rolling bearings; therefore …
advantages. Their transmission system mainly relies on rolling bearings; therefore …
[PDF][PDF] Increasing the efficiency of railway rolling stock operation with induction traction motors due to implementation of the operational system for diagnostic condition …
Traction drives with vector control are widely used on mainline locomotives with induction
motors. Traction motors can fail due to malfunctions that occur during the operation of …
motors. Traction motors can fail due to malfunctions that occur during the operation of …