The condition monitoring (CM) of rotating machinery (RM) is an essential operation for
improving the reliability of mechanical systems. For this purpose, an efficient CM method that …

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 …

Electrical machines are prone to faults and failures and demand incessant monitoring for
their confined and reliable operations. A failure in electrical machines may cause …

It is a challenging task to accurately diagnose a railway bearing fault since bearing vibration
signals are under strong interferences from wheel–rail excitations. The commonly used …

Rotating machines are widely used in industries, manufacturing, and oil and gas plants as a
critical component for process availability. The inadvertent failure of these rotating machines …

The periodic impacts are regarded as the typical characteristics of local defect of wind
turbine bearing. For this reason, it is significant to extract the periodic impacts from the …

In most practical applications of fault diagnosis methods, two problems will inevitably arise.
First, limited by the monitored object itself and its environment, accelerators are difficult to …

This article proposes a speed sensor fault diagnosis methodology based on a learning-
based data-driven principle in induction motor drive systems. The proposed method is …

Rotating machinery is typical complex electromechanical equipment under nonstationary
working conditions and hazardous environments, which is thus vulnerable to an unexpected …

Aiming at the unreasonable frequency spectrum boundary division while empirical wavelet
transform is applied to the fault diagnosis of rolling bearings, we propose to extract the …