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 …

Condition-based maintenance via vibration signal processing plays an important role to
reduce unscheduled machine downtime and avoid catastrophic accidents in industrial …

机械故障诊断是一门起源于20 世纪60 年代的新兴学科, 其突出特点是理论研究与工程实际应用
紧密结合. 该学科经过半个世纪的发展逐渐成熟, 在信号获取与传感技术, 故障机理与征兆联系 …

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 …

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 …

Blind deconvolution algorithms prove to be effective tools for fault identification, being able
to extract excitation sources from noisy observations only. In this scenario, the present paper …

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 …

Early fault identification of the rolling element bearings remains difficult because the
repetitive transient signature generated via localized incipient damage is easily submerged …