Real-time tool condition monitoring (TCM) has been emerging as a key technology for smart
manufacturing. TCM can improve the dimensional accuracy of products, minimize machine …

Prognostic maintenance (PM) aims to monitor the running status and promptly detect
potential failures to improve the availability and productivity of the equipment. The …

Purpose The aim of this paper is to review the literature on the prediction of cutting tool life.
Tool life is typically estimated by predicting the time to reach the threshold flank wear width …

Abstract Vertical Axis Wind Turbine (VAWT) blades experience stall conditions at lower tip
speed ratios during rotation, resulting in inefficient power performance. The power …

Tool condition monitoring (TCM) is a key technology for intelligent manufacturing. The
objective is to monitor the tool operation status and detect tool breakage so that the tool can …

Feature selection plays a vital role in improving the efficiency and accuracy of condition
monitoring by constructing sparse but effective models. In this study, an advanced feature …

Tool condition monitoring (TCM) plays a vital role in maintaining product quality and
improving productivity in advanced manufacturing. However, complex machining …

Several factors, such as human error, environmental factors, and maintenance practices,
contribute to the degradation of real-world industrial systems. Predicting system dynamics is …

Online condition monitoring and remaining useful life (RUL) prediction play an essential role
for cutting tools in the machining process as they directly affect the product's quality and …

Remaining Useful Life (RUL) prognostics and pre-failure warning for complex industrial
systems enables the timely detection of hidden problems and effectively avoids multiple …