Flank wear is the most commonly observed and unavoidable phenomenon in metal cutting
which is also a major source of economic loss resulting due to material loss and machine …

In turning operations, the wear of cutting tools is inevitable. As workpieces produced with
worn tools may fail to meet specifications, the machining industries focus on replacement …

This paper deals with the presentation of an experimental platform called PRONOSTIA,
which enables testing, verifying and validating methods related to bearing health …

This book addresses the steps needed to monitor health assessment systems and the
anticipation of their failures: choice and location of sensors, data acquisition and processing …

The application of artificial intelligence (AI) techniques in modeling of machining process
has been investigated by many researchers. Fuzzy logic (FL) as a well-known AI technique …

Tool wear is one of the important indicators to reflect the health status of a machining
system. In order to obtain tool's wear status, tool condition monitoring (TCM) utilizes …

In conventional metal cutting, different tool wear modes, and their individual deterioration
rates play vital roles in overall production performance. For a given tool (ie, geometry or …

In this paper, a micromilling type-2 fuzzy tool condition monitoring system based on multiple
AE acoustic emission signal features is proposed. The type-2 fuzzy logic system is used as …

Tool wear is one of the main issues encountered in the manufacturing industry during
machining operations. In traditional machining for chip removal, it is necessary to know the …

In the milling process, the condition of the tool is the important factor that determines the
quality of the machined product. Hence, monitoring the condition of the tool becomes …