Mechanical fault diagnosis is one of the important technologies in the fourth industrial
revolution. In recent years, mechanical fault diagnosis based on audio signal analysis …

To overcome current challenges in variational mode decomposition (VMD) and its variants
for the fault diagnosis of rotating machines, the decomposing characteristics of two sub …

Abstract Machine health management has become the focus of equipment monitoring
upgrading with the advance of digital twin (DT). The DT model is able to generate system …

In bearing fault diagnosis, multichannel data can contain more abundant and complete fault
information to alleviate the influence of accidental factors in a single channel. To fully …

Due to the extremely limited prior knowledge, machinery fault diagnosis under varying
working conditions with limited annotation data is a very challenging task in practical …

When the rolling bearing fails, the fault features contained in bearing vibration signal are
easily submerged by fortissimo noise interference signals, and have obvious non-stationary …

Vibration, current, and acoustic signals have different advantages and characteristics in fault
diagnosis. Although a few researches have explored their fusion methods and applied them …

Because actual vibration signal collected from mechanical equipment (eg, wind turbines and
high-speed trains) are strongly non-stationary and have low signal-to-noise ratios, which …

Many industrial processes, from manufacturing to food processing, incorporate rotating
elements as principal components in their production chain. Failure of these components …

Owing to the harsh operating environment of rolling bearings, acquired vibration signals
contain strong noise interference, which makes it challenging for conventional methods to …