Artificial intelligence systems for tool condition monitoring in machining: Analysis and critical review

DY Pimenov, A Bustillo, S Wojciechowski… - Journal of Intelligent …, 2023 - Springer
The wear of cutting tools, cutting force determination, surface roughness variations and other
machining responses are of keen interest to latest researchers. The variations of these …

Application of sophisticated sensors to advance the monitoring of machining processes: analysis and holistic review

SR Kandavalli, AM Khan, A Iqbal, M Jamil… - … International Journal of …, 2023 - Springer
Response measurement of various functionality states of machines is an inevitable part of
smooth production. An effectively efficient measurement and control system of the machinery …

PRONOSTIA: An experimental platform for bearings accelerated degradation tests.

P Nectoux, R Gouriveau, K Medjaher… - … on Prognostics and …, 2012 - hal.science
This paper deals with the presentation of an experimental platform called PRONOSTIA,
which enables testing, verifying and validating methods related to bearing health …

A review on sensor based monitoring and control of friction stir welding process and a roadmap to Industry 4.0

D Mishra, RB Roy, S Dutta, SK Pal… - Journal of Manufacturing …, 2018 - Elsevier
This review is on the various techniques and methodologies applied to sensor based
monitoring of the quality and control of defects in an advanced joining process named …

Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results

K Zhu, Y San Wong, GS Hong - International Journal of Machine Tools and …, 2009 - Elsevier
This paper reviews the state-of-the-art of wavelet analysis for tool condition monitoring
(TCM). Wavelet analysis has been the most important non-stationary signal processing tool …

[BOEK][B] From prognostics and health systems management to predictive maintenance 1: Monitoring and prognostics

R Gouriveau, K Medjaher, N Zerhouni - 2016 - books.google.com
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 …

CNC machine tool's wear diagnostic and prognostic by using dynamic Bayesian networks

DA Tobon-Mejia, K Medjaher, N Zerhouni - Mechanical Systems and Signal …, 2012 - Elsevier
The failure of critical components in industrial systems may have negative consequences on
the availability, the productivity, the security and the environment. To avoid such situations …

Predicting tool wear with multi-sensor data using deep belief networks

Y Chen, Y **, G Jiri - The International Journal of Advanced …, 2018 - Springer
Tool wear is a crucial factor influencing the quality of workpieces in the machining industry.
The efficient and accurate prediction of tool wear can enable the tool to be changed in a …

Effect of tool wear on delamination in drilling composite materials

CC Tsao, H Hocheng - International journal of mechanical sciences, 2007 - Elsevier
Among all machining operations, drilling using twist drill is the most frequently applied for
secondary machining of composite materials owing to the need for structure joining …

Detection and diagnosis of bearing and cutting tool faults using hidden Markov models

T Boutros, M Liang - Mechanical Systems and Signal Processing, 2011 - Elsevier
Over the last few decades, the research for new fault detection and diagnosis techniques in
machining processes and rotating machinery has attracted increasing interest worldwide …