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 …
C Sun, M Ma, Z Zhao, S Tian, R Yan… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
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 …
S Boopathi, BK Pandey, D Pandey - Handbook of research on thrust …, 2023 - igi-global.com
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 …
S Wang, X Xia, L Ye, B Yang - Metals, 2021 - mdpi.com
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 …
JM Wakiru, L Pintelon, PN Muchiri… - Mechanical systems and …, 2019 - Elsevier
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 …
X Wu, Y Liu, X Zhou, A Mou - Sensors, 2019 - mdpi.com
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 …