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 …

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 …

Reliable fault diagnosis and condition monitoring are essential for permanent magnet
synchronous motor (PMSM) drive systems with high-reliability requirements. PMSMs can be …

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) …

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 …

This article proposes a prescribed-time robust repetitive learning control scheme for
uncertain permanent magnet synchronous motor (PMSM) servo systems. An error-tracking …

Industrial sensor signals are essentially non-Euclidean graph structures due to the interplay
between process variables; thus, graph convolutional networks (GCNs) have been widely …

This paper proposes a novel preprocessing method, namely stator current operation
compensation (SCOC), for deep learning-based fault diagnosis of a permanent magnet …

This article presents the classification of optoelectronics encoder faults in a permanent
magnet synchronous motor (PMSM) drive system. This paper proposes the deep neural …

Permanent magnet synchronous motors (PMSMs) are increasingly used in industrial and
commercial applications. Due to their popularity, the fault detection of these machines …