Fault diagnosis is of significance for ensuring the safe and reliable operation of machinery
equipment. Due to the heavy noise and interference, it is difficult to detect the fault directly …

Machinery fault diagnosis has progressed over the past decades with the evolution of
machineries in terms of complexity and scale. High-value machineries require condition …

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

Bearings are important and easily damaged parts in equipment. Collecting and analyzing
the vibration signals of damaged bearings is a common fault diagnosis method. The …

The demodulation of machine signals is a key step for the diagnostics and prognostics of
components such as rolling element bearings. Whereas diagnostic approaches could …

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 …

Industrial automatic control systems have high requirements for manufacturing accuracy,
which are often adversely affected by the compound fault of rotating machinery such as …

Demodulation analysis is one of the most effective methods for bearing fault diagnosis.
However, in practical applications, the interferences from ambient noises or other rotating …

Bearing diagnostics is a field of intensive research, focusing nowadays mainly in
complicated machinery (eg planetary gearboxes, multi-stage gearboxes, etc.) operating …