Effective training data selection in tool condition monitoring system

2006 ◽  
Vol 46 (2) ◽  
pp. 218-224 ◽  
Author(s):  
J. Sun ◽  
G.S. Hong ◽  
Y.S. Wong ◽  
M. Rahman ◽  
Z.G. Wang
Keyword(s):  
Monitoring System ◽  
Condition Monitoring ◽  
Tool Condition Monitoring ◽  
Training Data ◽  
Data Selection ◽  
Tool Condition ◽  
Effective Training ◽  
Condition Monitoring System ◽  
Training Data Selection

TOOL CONDITION MONITORING SYSTEM IN SERIAL PRODUCTION CONDITIONS

2020 ◽  
Vol 4 (2) ◽  
pp. 161-168
Author(s):  
V.I. GOLOVIN ◽  
S.Yu. RADCHENKO
Keyword(s):  
Monitoring System ◽  
Condition Monitoring ◽  
Cutting Tool ◽  
Tool Condition Monitoring ◽  
Serial Production ◽  
Tool Condition ◽  
Decision Making System ◽  
Software And Hardware ◽  
Condition Monitoring System ◽  
The Cost

One of the most important tasks of serial and mass production is to maintain the continuity of the technological process in order to reduce equipment downtime and, as a result, the cost of production. One of the systems is the tool condition monitoring system. However, the solutions used today are complex software and hardware systems that are not available for most medium and small productions. The article proposes a system based on a comparative analysis of the applied tool with reference instances. The results of the analysis are sent to the decision-making system, which determines the feasibility of further use of the cutting tool for subsequent machining. An example of an experimental study of milling processing is given. The results obtained show the possibility and rationality of using this model to predict the state of the instrument.

Type-2 fuzzy tool condition monitoring system based on acoustic emission in micromilling

2014 ◽  
Vol 255 ◽  
pp. 121-134 ◽  
Author(s):  
Qun Ren ◽  
Marek Balazinski ◽  
Luc Baron ◽  
Krzysztof Jemielniak ◽  
Ruxandra Botez ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Tool Condition Monitoring ◽  
Tool Condition ◽  
Condition Monitoring System

scholarly journals ANN Based Tool Condition Monitoring System for CNC Milling Machines

2011 ◽  
pp. 461-468
Author(s):  
Georgina del Carmen Mota-Valtierra ◽  
◽  
Luis Alfonso Franco-Gasca ◽  
Gilberto Herrera-Ruiz ◽  
Gonzalo Macias-Bobadilla ◽  
...  
Keyword(s):  
Monitoring System ◽  
Condition Monitoring ◽  
Tool Condition Monitoring ◽  
Cnc Milling ◽  
Tool Condition ◽  
Milling Machines ◽  
Condition Monitoring System
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