Systematic review on tool breakage monitoring techniques in machining operations

X Li, X Liu, C Yue, SY Liang, L Wang - International Journal of Machine …, 2022 - Elsevier
Tool condition monitoring (TCM) in machining operations is crucial to maximise the useful
tool life while reducing the risks associated with tool breakage. Unlike progressive tool wear …

Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review

Y Liu, L Guo, H Gao, Z You, Y Ye, B Zhang - Mechanical Systems and …, 2022 - Elsevier
Abstract Machine vision based condition monitoring and fault diagnosis of machine tools
(MVCMFD-MTs) is a vital technique of condition-based maintenance (CBM) in both metal …

Physics guided neural network for machining tool wear prediction

J Wang, Y Li, R Zhao, RX Gao - Journal of Manufacturing Systems, 2020 - Elsevier
Tool wear prediction is of significance to improve the safety and reliability of machining tools,
given their widespread applications in nearly every branch of manufacturing. Mathematical …

State-of-the-art methods and results in tool condition monitoring: a review

AG Rehorn, J Jiang, PE Orban - The International Journal of Advanced …, 2005 - Springer
This paper presents a review of the state-of-the-art in sensors and signal processing
methodologies used for tool condition monitoring (TCM) systems in industrial machining …

Neural network applications in business: A review and analysis of the literature (1988–1995)

BK Wong, TA Bodnovich, Y Selvi - Decision Support Systems, 1997 - Elsevier
A survey of journal articles on neural network business applications published between
1988 and 1995 indicates that an increasing amount of neural network research is being …

Machine learning approaches to manufacturing

L Monostori, A Márkus, H Van Brussel, E Westkämpfer - CIRP annals, 1996 - Elsevier
Continuous, steady improvement is a key requirement to manufacturing enterprises that
necessitates flat and flexible organizations, life-long learning of employees on the one side …

An in-depth study of tool wear monitoring technique based on image segmentation and texture analysis

L Li, Q An - Measurement, 2016 - Elsevier
We present a new micro-vision system for tool wear monitoring, which is essential for
intelligent manufacturing. The tool wear area is divided into regions by a watershed …

A bibliography of neural network business applications research: 1994–1998

BK Wong, VS Lai, J Lam - Computers & Operations Research, 2000 - Elsevier
The purpose of this paper is to present a comprehensive bibliography of neural network
application research in business during the period of 1994–1998. Our extensive literature …

[PDF][PDF] Yapay sinir ağlari

E Öztemel - PapatyaYayincilik, Istanbul, 2003 - papatyabilim.com.tr
Çağdaş dünyada bilgisayarlar ve bilgisayar sistemleri insan hayatının vazgeçilmez bir
parçası haline gelmiştir. Elimizdeki cep telefonlarından, mutfaklardaki buzdolaplarına kadar …

Detecting chatter and estimating wear from the torque of end milling signals by using Index Based Reasoner (IBR)

IN Tansel, M Li, M Demetgul, K Bickraj, B Kaya… - … International Journal of …, 2012 - Springer
Abstract Index Based Reasoning (IBR) is proposed for chatter detection and tool wear
estimation by using the torque signal data of rotary dynamometers during the end milling …