Most of the existing gear fault diagnosis methods only use the single-channel signal for
processing. In order to extract more fault information and realize more comprehensive and …

Traditional sensing techniques suffer from additional installation space and experience
complex transmission paths. Intelligent bearings based on triboelectric nanogenerators …

Planetary gearboxes play a crucial role in altering rotary speed and transmitting power in
large machines like wind turbines and sophisticated vehicles. There are many nonlinear …

In order to study the frequency spectrum characteristics of the vibration signal of the inter-
shaft bearing defect fault in the aero-engine dual-rotor system, a vibration signal …

In the era of artificial intelligence (AI) and digitization, developing self-monitoring and smart-
diagnosis bearings has become a meaningful yet challenging problem. This study …

Selective maintenance has a significant impact on the sustainable management of
maintenance operations. The collaboration of multiple maintenance teams/operators is …

This paper aims to assess the fatigue reliability of random loading signals of a suspension
coil spring using probabilistic approaches. Strain time histories were acquired while the car …

The sound transmission loss (STL) of composite barriers is investigated by means of 3D
structure-acoustic finite element analysis (FEA). A simplified calculation method for fast …

Adaptive farming behavior is a key strategy for farmers to cope with climate change. This
paper aims to explore the potential impacts of climate change information sources on …

Earth surface vibration signal processing becomes attractive recently due to its significance
in source detection and localization, which can be adopted in a number of real world …