With the ongoing digitization of the manufacturing industry and the ability to bring together
data from manufacturing processes and quality measurements, there is enormous potential …

With the popularization of the intelligent manufacturing, much attention has been paid in
such intelligent computing methods as deep learning ones for machinery fault diagnosis …

Industry 4.0 is the new industrial revolution. By connecting every machine and activity
through network sensors to the Internet, a huge amount of data is generated. Machine …

Defects are unavoidable during manufacturing processes, and a tremendous amount of
research aimed at improving defect prevention has been conducted by scholars. Zero Defect …

Real-time and vision-based quality control for industrial processes has drawn great interest
from both scientists and practitioners, particularly following the transition to Zero Defect …

With the development of smart grid, capacity of wind power that connects to the grid
increases gradually, which makes the continuous and stable operation of wind turbine (WT) …

Wafer maps provide engineers with important information about the root causes of failures
during the semiconductor manufacturing process. Through the efficient recognition of the …

Fueled by increasing data availability and the rise of technological advances for data
processing and communication, business analytics is a key driver for smart manufacturing …

The prediction of upcoming events in industrial processes has been a long-standing
research goal since it enables optimization of manufacturing parameters, planning of …

Fault analysis (FA) is the process of collecting and analyzing data to determine the cause of
a failure. It plays an important role in ensuring the quality in manufacturing process …