Fault diagnosis and fault-tolerant control of PMSM drives–state of the art and future challenges
The issues of monitoring and fault diagnosis of drives with permanent magnet synchronous
motors (PMSMs) are currently very relevant because of the increasing use of these drives in …
motors (PMSMs) are currently very relevant because of the increasing use of these drives in …
Fault detection and diagnosis of the electric motor drive and battery system of electric vehicles
Fault detection and diagnosis (FDD) is of utmost importance in ensuring the safety and
reliability of electric vehicles (EVs). The EV's power train and energy storage, namely the …
reliability of electric vehicles (EVs). The EV's power train and energy storage, namely the …
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 …
Model-free fast integral terminal sliding-mode control method based on improved fast terminal sliding-mode observer for PMSM with unknown disturbances
This paper presents a novel model-free fast integral terminal sliding-mode control
(MFFITSMC) method based on an improved fast terminal sliding-mode observer (IFTSMO) …
(MFFITSMC) method based on an improved fast terminal sliding-mode observer (IFTSMO) …
Incipient interturn short-circuit fault diagnosis of permanent magnet synchronous motors based on the data-driven digital twin model
Z Chen, D Liang, S Jia, L Yang… - IEEE Journal of Emerging …, 2023 - ieeexplore.ieee.org
As the most common fault of permanent magnet synchronous motor (PMSM), interturn short-
circuit fault (ISCF) has great harm and develops rapidly. Once it is not diagnosed in time, it …
circuit fault (ISCF) has great harm and develops rapidly. Once it is not diagnosed in time, it …
Prescribed-Time Robust Repetitive Learning Control for PMSM Servo Systems
Q Chen, Y Li, Y Hong, H Shi - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
This article proposes a prescribed-time robust repetitive learning control scheme for
uncertain permanent magnet synchronous motor (PMSM) servo systems. An error-tracking …
uncertain permanent magnet synchronous motor (PMSM) servo systems. An error-tracking …
Hierarchical graph convolutional networks with latent structure learning for mechanical fault diagnosis
K Zhong, B Han, M Han, H Chen - IEEE/ASME Transactions on …, 2023 - ieeexplore.ieee.org
Industrial sensor signals are essentially non-Euclidean graph structures due to the interplay
between process variables; thus, graph convolutional networks (GCNs) have been widely …
between process variables; thus, graph convolutional networks (GCNs) have been widely …
Stator current operation compensation (SCOC): A novel preprocessing method for deep learning-based fault diagnosis of permanent magnet synchronous motors …
This paper proposes a novel preprocessing method, namely stator current operation
compensation (SCOC), for deep learning-based fault diagnosis of a permanent magnet …
compensation (SCOC), for deep learning-based fault diagnosis of a permanent magnet …
Classification of optoelectronic rotary encoder faults based on deep learning methods in permanent magnet synchronous motor drive system
K Jankowska, M Dybkowski - Electronics, 2023 - mdpi.com
This article presents the classification of optoelectronics encoder faults in a permanent
magnet synchronous motor (PMSM) drive system. This paper proposes the deep neural …
magnet synchronous motor (PMSM) drive system. This paper proposes the deep neural …
Permanent magnet synchronous motor fault detection system based on transfer learning method
M Skowron, CT Kowalski - … 48th Annual Conference of the IEEE …, 2022 - ieeexplore.ieee.org
Permanent magnet synchronous motors (PMSMs) are increasingly used in industrial and
commercial applications. Due to their popularity, the fault detection of these machines …
commercial applications. Due to their popularity, the fault detection of these machines …