Signal Processing is, arguably, the fundamental enabling technology for vibration-based
Structural Health Monitoring (SHM), which includes damage detection and more advanced …

Rolling element bearings are broadly applied in various industrial machines, such as
railway axles, gearboxes, electric motors, and turbines. Bearing fault diagnosis is important …

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 …

Variational mode decomposition provides a feasible method for non-stationary signal
analysis, but the method is still not adaptive, which greatly limits the wide application of the …

Variational mode decomposition (VMD), an effective signal decomposing technique, has
attracted considerable attention in recent years. The successful applicability of the VMD …

This paper proposes a novel structural damage detection method by combining the
advantages of variational mode decomposition algorithm and kernel principal component …

In order to solve the problem of the low leakage recognition rate of water pipes due to
operating conditions influence in practice, a multi-source information fusion recognition …

As stock data is characterized by highly noisy and non-stationary, stock price prediction is
regarded as a knotty problem. In this paper, we propose new two-stage ensemble models by …

Free vibration tests are often performed for the dynamic characterization of structural
systems and components. In the field of road bridges monitoring, such tests require minimal …

This study presents an effective procedure for extracting the first few bridge frequencies
using the data collected by a moving test vehicle. Previously, the effectiveness of the vehicle …