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

The Industry 4.0 concept of a Digital Twin will bring many advantages for wind energy
conversion systems, eg, in condition monitoring, predictive maintenance and the …

The traditional on-house sensing (OHS) accelerometer for vibration measurements causes
poor signal-to-noise ratio (SNR) and complicated fault modulations, which increases the …

Internal radial clearance is a key factor influencing bearing fatigue life. Moreover, bearings
inevitably suffer from various wears and tears, which result in gradual increase of clearance …

The rolling bearing is a crucial component of the rotating machine, and it is particularly vital
to ensure its normal operation. In addition, the selection of different category features will …

This research paper presents a comprehensive experimental and statistical approach for the
analysis of vibration amplitudes in a high-speed rotating shaft employing a squeeze film …

In this work, we present a quantitative and qualitative analysis of the dynamic response of
ball bearings dependent on radial internal clearance. We measured the vibrations of a …

Deep learning, with its ability of feature mining and logical judgement, has been widely
studied in industrial intelligent diagnosis, including bearing fault diagnosis. However, an …

Wind turbine condition monitoring (WTCM) plays an important role in reducing operation &
maintenance (O&M) cost and improving the reliability of wind farms. Supervisory control and …

Skidding is an inevitable phenomenon in rolling element bearing but accelerates the
bearing wear and shortens the bearing life. Recognizing skidding behavior under different …