The wear of cutting tools, cutting force determination, surface roughness variations and other
machining responses are of keen interest to latest researchers. The variations of these …

Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …

Data fusion is a prevalent way to deal with imperfect raw data for capturing reliable, valuable
and accurate information. Comparing with a range of classical probabilistic data fusion …

Milling is a high-performance method that allows an efficient machining of both flat and
complexly shaped surfaces. During the milling process, the cutting tool (cutters), its cutting …

The most important improvement in metal the cutting industry is the continuous utilization of
cutting tools and tool condition monitoring system. In the metal cutting process, the tool …

The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …

In the era of the “Industry 4.0” revolution, self-adjusting and unmanned machining systems
have gained considerable interest in high-value manufacturing industries to cope with the …

Abstract Recently,“Big Data” has attracted not only researchers' but also manufacturers'
attention along with the development of information technology. In this paper, the concept …

Accurate tool condition monitoring (TCM) is essential for the development of fully automated
milling processes. However, while considerable research has been conducted in industrial …

Tool wear monitoring has been increasingly important in intelligent manufacturing to
increase machining efficiency. Multi-domain features can effectively characterize tool wear …