The motor drive system plays a significant role in the safety of electric vehicles as a bridge
for power transmission. Meanwhile, to enhance the efficiency and stability of the drive …

Recently, to ensure the reliability and safety of modern large-scale industrial processes, data-
driven methods have been receiving considerably increasing attention, particularly for the …

This paper provides an overview of the recent developments in data-based techniques
focused on modern industrial applications. As one of the hottest research topics for …

Fault detection and classification (FDC) is important for semiconductor manufacturing to
monitor equipment's condition and examine the potential cause of the fault. Each equipment …

Bearing degradation is the most common source of faults in electrical machines. In this
context, this work presents a novel monitoring scheme applied to diagnose bearing faults …

Multilevel inverters, for their distinctive performance, have been widely used in high voltage
and high-power applications in recent years. As power electronics equipment reliability is …

The induction motor is the most popular motor in energy conversion and industrial drive
systems. This popularity is due to its robustness, low cost, and easy maintenance. Electrical …

This paper focuses on rolling elements bearing fault detection in induction machines based
on stator currents analysis. Specifically, it proposes to process the stator currents using the …

In this paper, a hybrid approach is proposed to detect the broken rotor bar and rotor mixed
eccentricity faults of three-phase squirrel cage induction motors based on one phase of the …

Dynamic principal component analysis (DPCA) is widely used in the monitoring of dynamic
multivariate processes. In traditional DPCA where a time window is used, the dynamic …