This tutorial is intended to guide the reader in the diagnostic analysis of acceleration signals
from rolling element bearings, in particular in the presence of strong masking signals from …

Signal models of rolling-element bearings have been a fundamental tool for the
development and justification of new bearing signal processing techniques. A …

Vibration signals resulting from rolling-element bearings present a mixture of physical
information, the proper analysis of which can lead to the identification of possible faults …

The last decade has witnessed spectacular advances in vibration-based fault detection of
rotating machines and, in particular, rolling element bearings. Nowadays, the related state of …

This paper deals with the vibration-based diagnosis of rolling element bearings in the
presence of strong interfering gear signals, such as is typical of helicopter gearboxes. The …

Extensive research has been conducted for intelligent fault diagnosis and prognosis of
rolling element bearings, a vital component in every rotating machinery, and many robust …

Spectral kurtosis (SK) represents a valuable tool for extracting transients buried in noise,
which makes it very powerful for the diagnostics of rolling element bearings. However, a …

In recent years there has been an increasing interest in applying cyclostationary analysis to
the diagnostics of machine vibration signals. This is because some machine signals, while …

Rolling-element bearing vibrations are random cyclostationary. This property is so
symptomatic when an incipient fault develops that it can be exploited for diagnostics. This …

In speed-varying conditions, the assumption of cyclostationarity of rolling-element bearing
vibrations is jeopardized. The emitted signal comprises an interaction between (i) time …