Robust fault recognition and correction scheme for induction motors using an effective IoT with deep learning approach
Maintaining electrical machines in good working order and increasing their life expectancy
is one of the main challenges. Precocious and accurate detection of faults is crucial to this …
is one of the main challenges. Precocious and accurate detection of faults is crucial to this …
Convolutional neural network-based stator current data-driven incipient stator fault diagnosis of inverter-fed induction motor
In this paper, the idea of using a convolutional neural network (CNN) for the detection and
classification of induction motor stator winding faults is presented. The diagnosis inference …
classification of induction motor stator winding faults is presented. The diagnosis inference …
Demagnetization fault diagnosis of permanent magnet synchronous motors based on stator current signal processing and machine learning algorithms
P Pietrzak, M Wolkiewicz - Sensors, 2023 - mdpi.com
Reliable fault diagnosis and condition monitoring are essential for permanent magnet
synchronous motor (PMSM) drive systems with high-reliability requirements. PMSMs can be …
synchronous motor (PMSM) drive systems with high-reliability requirements. PMSMs can be …
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 …
[HTML][HTML] Compression of results of geodetic displacement measurements using the PCA method and neural networks
M Mrówczyńska, J Sztubecki, A Greinert - Measurement, 2020 - Elsevier
The article proposes the use of PCA transformation carried out with the use of a neural
network as a method for compress data obtained from geodetic measurements. In this study …
network as a method for compress data obtained from geodetic measurements. In this study …
Machine learning-based stator current data-driven PMSM stator winding fault diagnosis
P Pietrzak, M Wolkiewicz - Sensors, 2022 - mdpi.com
Permanent magnet synchronous motors (PMSMs) have become one of the most important
components of modern drive systems. Therefore, fault diagnosis and condition monitoring of …
components of modern drive systems. Therefore, fault diagnosis and condition monitoring of …
Application of simplified convolutional neural networks for initial stator winding fault detection of the PMSM drive using different raw signal data
M Skowron, T Orlowska‐Kowalska… - IET Electric Power …, 2021 - Wiley Online Library
Permanent magnet synchronous motors (PMSM) have become one of the most substantial
components of modern industrial drives. These motors, like all the others, can unfortunately …
components of modern industrial drives. These motors, like all the others, can unfortunately …
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 …
Diagnosis of stator winding and permanent magnet faults of PMSM drive using shallow neural networks
This paper presents the application of shallow neural networks (SNNs): multi-layer
perceptron (MLP) and self-organizing Kohonen maps (SOMs) to the early detection and …
perceptron (MLP) and self-organizing Kohonen maps (SOMs) to the early detection and …
Diagnosis of rotor asymmetries faults in induction machines using the rectified stator current
R Puche-Panadero, J Martinez-Roman… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Fault diagnosis of induction motors through the analysis of the stator current is increasingly
being used in maintenance systems, because it is non-invasive and has low requirements of …
being used in maintenance systems, because it is non-invasive and has low requirements of …