Wind turbine blade bearings are often operated in harsh circumstances, which may easily
be damaged causing the turbine to lose control and to further result in the reduction of …

Diagnosis and prognostics of rolling element bearings have been widely studied in recent
years, but very few researches were dealing with high-speed train wheel set bearings …

One of the common methods for implementing the condition-based maintenance of rotating
machinery is vibration analysis. This tutorial describes some of the important signal …

Almost all machines having rotating parts contain rolling element bearings to support the
rotating parts during power transmission. Bearing failure is a major cause of the breakdown …

In this paper, a comparison of signal analysis techniques for the diagnostics of rolling
element bearings is carried out. Specifically, the comparison is performed in terms of fault …

A digital twin is a promising evolving tool for prognostic health monitoring. However, in
rotating machinery, the transfer function between the rotating components and the sensor …

Wavelet Scattering Network Based Bearing Fault Detection | PHM Society European
Conference PHMSociety.org Conferences North America Asia-Pacific Europe Publications …

Over the last few decades, wind energy, as one of the renewable sources, has attracted
extensive attention all over the world; and wind turbines are critical devices to convert the …

Rotating machinery like turbines, generators, pumps, gearboxes, motors, etc. are widely
used in industrial applications. For kee** such machines in working condition all the time …

The vibration signals of the rotating components in rotating machinery propagate through a
transfer function on their way to the acceleration sensor. The transfer function distorts the …