Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …

Rotating machinery often works under time-varying speeds, and nonstationary conditions
and harsh environments make its key parts, such as rolling bearings and gears, prone to …

Rotating machinery fault diagnosis under nonstationary conditions still mainly relies on
manual analysis of the frequency spectrums or the time-frequency representations of …

Instantaneous angular frequency (IAF) is an inherent characteristic associated with
mechanical dynamics and contains adequate diagnostic information about rotating …

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 …

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 …

Instantaneous speed estimation has become a key part of many condition monitoring
procedures for rotating machinery. The ability to track the rotational speed of a system is a …

Rolling element bearings play a critical role in rotating machines with variable speed
conditions, and their fault detection has attracted considerable interest from researchers in …

Rotating machinery signals are often composed of multiple components and are
nonstationary under practical time-varying conditions. In most cases, the constituent …

Despite enormous research, material, and manufacturing advancements in bearings, these
continue to fail in critical aerospace applications. Material and processing aspects of …