As a precision mechanical component to reduce friction between components, the rolling
bearing is widely used in many fields because of its slight friction loss, strong bearing …

Early fault detection and real-time condition monitoring systems have become quite
significant for today's modern industrial systems. In a high volume of manufacturing facilities …

For the bearing fault diagnosis in small sample cases, a new model for signal denoising and
entropy feature fusion (EFF) based on the wild horse optimizer (WHO) optimized variational …

The importance of predictive maintenance (PdM) programs has been recognized across
many industries. Seamless integration of the PdM program into today's manufacturing …

Electromechanical systems is widely employed in the manufacturing industry, with fault
diagnosis being critical for ensuring the reliable operation of them. Vibration signals exhibit …

Condition monitoring is a part of the predictive maintenance approach applied to detect and
prevent unexpected equipment failures by monitoring machine conditions. Early detection of …

In contrast to fault diagnosis relying solely on a single sensor, the method of multi-sensor
information fusion for fault diagnosis (MSIFFD) broadens the spectrum of available …

Time-series prediction of water quality is the most critical component of water quality
monitoring in the aquaculture industry. Accurate multi-step ahead prediction of water quality …

The piston pump is the significant source of motive force in a hydraulic transmission system.
Owing to the changeable working conditions and complex structural characteristics, multiple …

The increase in the number of channels for extracting bearing fault features can to some
extent enhance diagnostic performance. Therefore, this article proposes a SENet (squeeze …