Maximum correlated kurtosis deconvolution (MCKD), multipoint optimal minimum entropy
deconvolution adjusted (MOMEDA) and maximum second-order cyclostationarity blind …

Local damage detection in bearings focuses on the identification of periodically impulsive
components. Popular methods assume presence of either non-Gaussian noise or different …

The case study presents an assessment of the traffic-induced vibrations on humans and
residential buildings, which is important for sustainable development. The analyzed …

The problem of local damage detection in rotating machines is currently the highly important
subject of interest in the field of condition monitoring. In the literature one can find many …

In this paper, authors present the original procedure for local damage detection in rolling
bearings based on vibration data. The aim is to obtain envelope spectrum (ES) of the signal …

In the light of the significance of the rotating machinery and the possible severe losses
resulted from its unexpected defects, it is vital and meaningful to exploit the effective and …

Nowadays, mines become more and more innovative and computerized. The operational
conditions are harsh and varying; therefore, appropriate and powerful tools have to be …

The diagnosis of gearboxes plays a crucial role in the maintenance of wind turbine.
Considering critical elements–ie gears and bearings–of gear set, the effective and exact …

Gear mechanisms are key components for rotating machinery ranging from automotive,
hydraulic systems to aviation systems. As a more reliable, safer, economical fault diagnostic …

Bearing fault diagnosis is essential for improving the efficiency of industrial operations. The
inherently multimodal nature of bearing vibration signals presents significant challenges in …