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 …

The complex structure of turning aggravates obtaining the desired results in terms of tool
wear and surface roughness. The existence of high temperature and pressure make difficult …

Deep learning with ability to feature learning and nonlinear function approximation has
shown its effectiveness for machine fault prediction. While, how to transfer a deep network …

Nickel-based Inconel 625 is employed in critical applications because of its excellent
properties. But the machinability of this material is very poor. In recent years, the use of …

AI has had a substantial influence on image processing, allowing cutting-edge methods and
uses. The foundations of image processing are covered in this chapter, along with …

Automatic detection of steel surface defects is very important for product quality control in the
steel industry. However, the traditional method cannot be well applied in the production line …

Sensors are the main equipment of the data-based enterprises for diagnosis of the health of
system. Offering time-or frequency-dependent systemic information provides prognosis with …

Nowadays, face milling is one of the most widely used machining processes for the
generation of flat surfaces. Following international standards, the quality of a machined …

Lubrication Condition monitoring (LCM) is not only utilized as an early warning system in
machinery but also, for fault diagnosis and prognosis under condition-based maintenance …

Monitoring of tool wear in machining process has found its importance to predict tool life,
reduce equipment downtime, and tool costs. Traditional visual methods require expert …