The prediction of remaining useful life (RUL) of rolling bearing is core content of equipment
prognosis and health management. For rolling bearings, the degradation trend can be …

Demodulation methods are widely used for bearing diagnostics, based often on the
(Squared) Envelope Spectrum after band pass filtering. One of the main challenges of these …

Abstract Rolling Element Bearings are one of the most ubiquitous machine elements used in
various machineries in the manufacturing industry. Prognosis and estimation of residual life …

Hjorth's parameters are statistical time-domain parameters used in signal processing and
introduced by Bo Hjorth in 1970. These parameters are Activity, Mobility and Complexity …

Condition monitoring of rolling bearings is attracting much interest since most of the
production slowdowns depends on the damaging of these components. Several algorithms …

Impact features caused by the bearing defects can be used to detect the defect sizes. The
current defective vibration models for ball bearings only considered the effect of defect …

This paper investigates the performance of the 12 entropy-based features for the monitoring
and detection of bearing faults. These entropy measures were proposed both in time …

In the last years, Blind Deconvolution methods demonstrated their effectiveness for the
diagnostics of rotating machines through the extraction of impulsive signatures directly from …

Bearing failure detection in induction motors is vital to prevent breakdowns and dead times
in industrial processes. Non-invasive detection of bearing faults can be performed by …

This paper proposes a tool for the generation of synthetic mechanical signatures of faulted
gears and bearings in non-stationary conditions. Synthetic signals are commonly used to …