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 …

The Fourth Industrial Revolution, also named Industry 4.0, is leveraging several modern
computing fields. Industry 4.0 comprises automated tasks in manufacturing facilities, which …

In the machine learning and data science pipelines, feature extraction is considered the
most crucial component according to researchers, where generating a discriminative feature …

Bearings are critical components of motors. However, they can cause several issues. Proper
and timely detection of faults in the bearings can play a decisive role in reducing damage to …

Wind turbines are playing an increasingly important role in renewable power generation.
Their complex and large-scale structure, however, and operation in remote locations with …

Aiming at the problem that the weak fault signal of rolling bearing is affected by background
noise and the weak fault signal itself leads to the difficulty in extracting fault features, a weak …

Induction motors are widely used in manufacturing industries failures in them could be fatal
and costly. Hence their health condition must be adequately monitored because defects …

Mechanical fault diagnosis can prevent the deterioration of mechanical equipment failures
and is important for the stable operation of mechanical equipment. Firstly, this paper reviews …

This research focuses on leveraging wavelet transform for fault classification within electrical
power transmission networks. This study meticulously examines the influence of various …

This paper proposes fault diagnosis methods aimed at proactively preventing potential
safety issues in robot systems, particularly human coexistence robots (HCRs) used in …