[HTML][HTML] Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends

R Binali, M Kuntoğlu, DY Pimenov, ÜA Usca, MK Gupta… - Measurement, 2022 - Elsevier
This review paper summarizes the application of smart manufacturing systems utilized in
drilling and hole machining processes. In this perspective, prominent sensors such as …

Abrasive tool wear prediction based on an improved hybrid difference grey wolf algorithm for optimizing SVM

Y Liang, S Hu, W Guo, H Tang - Measurement, 2022 - Elsevier
In the era of intelligent manufacturing, it is necessary to monitor the wear condition of
abrasive tools in real time to prevent the deterioration of workpiece quality due to tool …

Tool wear prediction method based on symmetrized dot pattern and multi-covariance Gaussian process regression

C Zhang, W Wang, H Li - Measurement, 2022 - Elsevier
Cutting tool plays a critical role in modern manufacturing system and tool wear prediction
has a great effect on product cost and quality. Many efforts have been devoted to developing …

Intelligent analysis of tool wear state using stacked denoising autoencoder with online sequential-extreme learning machine

J Ou, H Li, G Huang, G Yang - Measurement, 2021 - Elsevier
Impeller is a critical component of much large equipment, such as hydropower, nuclear
pump, and so on. Its processing quality seriously affects the operation states and service life …

Comparison of machine learning techniques for spam detection

A Ghosh, A Senthilrajan - Multimedia Tools and Applications, 2023 - Springer
Email is a useful communication medium for better reach. There are two types of emails,
those are ham or legitimate email and spam email. Spam is a kind of bulk or unsolicited …

Intelligent single-board computer for Industry 4.0: Efficient real-time monitoring system for anomaly detection in CNC machines

V Justus, GR Kanagachidambaresan - Microprocessors and Microsystems, 2022 - Elsevier
The Industry 4.0 technology relies on Single-board computers and the Internet of Things
(IOT) and Machine Learning (ML). In addition, sensory detectors, controllers, and a …

Indirect tool monitoring in drilling based on gap sensor signal and multilayer perceptron feed forward neural network

SNB Jaini, DW Lee, SJ Lee, MR Kim… - Journal of Intelligent …, 2021 - Springer
In this study, an indirect tool monitoring was developed based on the installation of a gap
sensor in measuring the signal related to the tool behavior during the drilling process …

A LS-SVM method for CMM geometric error identification based on spatially integrated measurement

X Zhang, X Zhang, X Zhang, Y Shen, T Ling - Measurement, 2025 - Elsevier
The measurement and identification of geometric errors are important for improving the
accuracy of CMM (Coordinate Measuring Machine). Since measurement instruments cannot …

Tool monitoring of end milling based on gap sensor and machine learning

SNB Jaini, D Lee, S Lee, M Kim, Y Kwon - Journal of Ambient Intelligence …, 2021 - Springer
Tool wear is a detrimental circumstance in end milling and estimating its occurrence in
machinery is an onerous process. Indirect tool monitoring has been actively studied to …

Remaining useful life prediction using deep multi-scale convolution neural networks

Y Ge, JJ Liu, JX Ma - IOP Conference Series: Materials Science …, 2021 - iopscience.iop.org
Accurate Remaining useful life (RUL) prediction is the premise of system prognostics and
health management (PHM). In fact, it is often difficult to predict the accurate RUL because of …