Prognostics and health management is an emerging discipline to scientifically manage the
health condition of engineering systems and their critical components. It mainly consists of …

The rolling element bearing is one of the most critical components that determine the
machinery health and its remaining lifetime in modern production machinery. Robust …

Accurate fault diagnosis is critical to ensure the safe and reliable operation of rotating
machinery. Data-driven fault diagnosis techniques based on Deep Learning (DL) have …

Envelope analysis is one of the most advantageous methods for rolling element bearing
diagnostics but finding a suitable frequency band for demodulation has been a substantial …

A classical symptom of rotating machines faults in vibration signals is the presence of
repetitive transients, whose distinctive signature is both impulsive and cyclostationary …

The vibration signal of a faulty rolling bearing exhibits typical non-stationarity–often in the
form of cyclostationarity. The spectrum tools often used to characterize cyclostationarity …

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 …

Abstract Although the Spectral Correlation is one of the most versatile spectral tools to
analyze cyclostationary signals (ie signals comprising hidden periodicities or repetitive …

Empirical mode decomposition (EMD) is a way of decomposing complex signals into a sum
of “mono-components”, ie intrinsic mode functions (IMFs), each of which can be considered …

This paper is a tutorial on cyclostationarity oriented towards mechanical applications. The
approach is voluntarily intuitive and accessible to neophytes. It thrives on 20 examples …