Anomaly detection has recently been applied to various areas, and several techniques
based on deep learning have been proposed for the analysis of multivariate time series. In …

Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …

PHM technology is vital in industrial production and maintenance, identifying and predicting
potential equipment failures and damages. This enables proactive maintenance measures …

As the concept of Industry 4.0 is introduced, artificial intelligence-based fault analysis is
attracted the corresponding community to develop effective intelligent fault diagnosis and …

The proliferation of sensing technologies such as sensors has resulted in vast amounts of
time-series data being produced by machines in industrial plants and factories. There is …

Bearings serve as fundamental components in the transmission of motion for rotating
machinery. The occurrence of mechanical wear and subsequent bearing failures within …

Heavy machinery allows for the efficient, precise, and safe management of large-scale
operations that are beyond the abilities of humans. Heavy machinery breakdowns or failures …

Video Surveillance Systems (VSSs) are used in a wide range of applications including
public safety and perimeter security. They are deployed in places such as markets …

The quality of rolling bearings is vital for the working state and rotation accuracy of the shaft.
Timely and accurately acquiring bearing status and early fault diagnosis can effectively …

Real-time road quality monitoring, involves using technologies to collect data on the
conditions of the road, including information on potholes, cracks, and other defects. This …