Mechanics-related tasks often present unique challenges in achieving accurate geometric
and physical representations, particularly for non-uniform structures. Graph neural networks …

The electromechanical impedance (EMI)-based damage identification method is a non-
destructive testing approach in the field of structural health monitoring. The frequency …

Wooden pallets often suffer mechanical damage during transportation, stacking, forklifting,
and on-site handling in cold supply chain logistics. In humid-cold environments, the fracture …

This paper studied an unsupervised machine learning method to achieve real-time
diagnosis of tip wear in tip-based nanomachining with an Atomic Force Microscope (AFM) …

Wooden pallets can straightforwardly sustain fractures during storage and transportation.
This shortens their service life. To minimize the economic losses caused by damage to …

The identification and severity of structural damages, especially in the early stage, is critical
in structural health monitoring (SHM) systems. Among several approaches used to …

The sustainable development goals (SDGs) as specified by the United Nations are a
blueprint to make the Earth to be more sustainable by the year 2030. It envisions member …

The purpose of the present study is to monitor tool condition in a grinding operation through
the electromechanical impedance (EMI) using wavelet analysis. To achieve this, a dressing …

The wooden pallet can easily suffer fractures during storage and transportation, shortening
its service life. This study aimed to develop a nondestructive testing method based on the …

The world has experienced exponential growth in digitalisation and connectivity over the last
twenty years. Many sectors have begun this process of change, including manufacturing …