[HTML][HTML] Health assessment and life prediction of cutting tools based on support vector regression

T Benkedjouh, K Medjaher, N Zerhouni… - Journal of intelligent …, 2015 - Springer
The integrity of machining tools is important to maintain a high level of surface quality. The
wear of the tool can lead to poor surface quality of the workpiece and even to damage of the …

Tool condition monitoring framework for predictive maintenance: a case study on milling process

E Traini, G Bruno, F Lombardi - International Journal of Production …, 2021 - Taylor & Francis
In metal cutting processes, tool condition monitoring has a great importance to prevent
surface damage and maintaining the quality of surface finishing. With the development of …

[HTML][HTML] Predicting tool wear size across multi-cutting conditions using advanced machine learning techniques

Y Shen, F Yang, MS Habibullah, J Ahmed… - Journal of Intelligent …, 2021 - Springer
The need to monitor tool wear is crucial, particularly in advanced manufacturing industries,
as it aims to maximise the lifespan of the cutting tool whilst guaranteeing the quality of …

[HTML][HTML] Application of metaheuristic optimization based support vector machine for milling cutter health monitoring

NS Bajaj, AD Patange, R Jegadeeshwaran… - Intelligent Systems with …, 2023 - Elsevier
With the arrival of Industry 4.0, intelligent condition-based maintenance has become a must,
if not a need, for industries with significant capital investments in rotating machineries. Tool …

Intelligent diagnosis and prognosis of tool wear using dominant feature identification

JH Zhou, CK Pang, FL Lewis… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
Identification and prediction of a lifetime of industrial cutting tools using minimal sensors is
crucial to reduce production costs and downtime in engineering systems. In this paper, we …

Tool condition monitoring by SVM classification of machined surface images in turning

NN Bhat, S Dutta, T Vashisth, S Pal, SK Pal… - The International Journal …, 2016 - Springer
Tool condition monitoring has found its importance to meet the requirement of quality
production in industries. Machined surface is directly affected by the extent of tool wear …

A Bayesian optimized discriminant analysis model for condition monitoring of face milling cutter using vibration datasets

NS Bajaj, AD Patange… - Journal of …, 2022 - asmedigitalcollection.asme.org
With the advent of industry 4.0, which conceptualizes self-monitoring of rotating machine
parts by adopting techniques like data analytics, cloud computing, Internet of things …

An unsupervised feature learning based health indicator construction method for performance assessment of machines

L Guo, Y Yu, A Duan, H Gao, J Zhang - Mechanical Systems and Signal …, 2022 - Elsevier
In order to assess the degradation process of machines, it is necessary to construct a
suitable health indicator. Existing health indicators are mainly constructed with manually …

Tool wear predictive model based on least squares support vector machines

D Shi, NN Gindy - Mechanical systems and signal processing, 2007 - Elsevier
The development of tool wear monitoring system for machining processes has been well
recognised in industry due to the ever-increased demand for product quality and productivity …

[HTML][HTML] Machining sensor data management for operation-level predictive model

E Kozłowski, D Mazurkiewicz, T Żabiński… - Expert Systems with …, 2020 - Elsevier
Effective transition from raw industrial data to knowledge-based executive actions without
human action requires developing new analytical tools, what also means new challenges for …