Monitoring and processing signal applied in machining processes–A review

CH Lauro, LC Brandao, D Baldo, RA Reis, JP Davim - Measurement, 2014 - Elsevier
In machining processes several phenomena occur during material cutting. These
phenomena can affect the production through the reduction of quality or accuracy, or by …

Application of acoustic emissions in machining processes: analysis and critical review

HA Kishawy, H Hegab, U Umer, A Mohany - The International Journal of …, 2018 - Springer
Monitoring and controlling of metal cutting processes is an essential task in any modern
precision machining setup. The implementation of proper monitoring process leads to …

Surface roughness diagnosis in hard turning using acoustic signals and support vector machine: A PCA-based approach

PJ Papandrea, EP Frigieri, PR Maia, LG Oliveira… - Applied Acoustics, 2020 - Elsevier
During the last years, notable efforts have been made to develop reliable and industrially
applicable machining monitoring systems based on different types of sensors, especially …

Diamond grinding wheel condition monitoring based on acoustic emission signals

G Bi, S Liu, S Su, Z Wang - Sensors, 2021 - mdpi.com
Acoustic emission (AE) phenomenon has a direct relationship with the interaction of tool and
material which makes AE the most sensitive one among various process variables …

A method for tool condition monitoring based on sensor fusion

K Zhang, H Yuan, P Nie - Journal of Intelligent Manufacturing, 2015 - Springer
This paper presents a multi-sensor information fusion method for tool condition monitoring
(TCM) using acoustic emission and cutting sound as monitoring signals. In order to make the …

Histogram as features for fault detection of multi point cutting tool–A data driven approach

DP Kumar, V Muralidharan, S Ravikumar - Applied Acoustics, 2022 - Elsevier
In the milling process, the condition of the tool is the important factor that determines the
quality of the machined product. Hence, monitoring the condition of the tool becomes …

[HTML][HTML] Online damage detection of cutting tools using Dirichlet process mixture models

CT Wickramarachchi, TJ Rogers, TE McLeay… - … Systems and Signal …, 2022 - Elsevier
The ability to monitor and predict tool deterioration during machining is an important goal
because the state of wear has a significant influence on the surface quality of machined …

3D cutting tool-wear monitoring in the process

L Čerče, F Pušavec, J Kopač - Journal of Mechanical Science and …, 2015 - Springer
The tool-wear of cutting tools has a very strong impact on the product quality as well as
efficiency of the machining processes. Therefore, it in-the process characterization is crucial …

Review of rotating machinery elements condition monitoring using acoustic emission signal

P Kundu - Expert Systems with Applications, 2024 - Elsevier
Acoustic emission (AE) is defined as the structure-borne propagating transient elastic stress
waves produced due to the rapid release of energy because of internal structure changes or …

Research on characterization of asphalt pavement performance by acoustic emission technology

J Li, L Wang, H Xiong, H Yang - International Journal of Pavement …, 2023 - Springer
Under the action of long-term service and external environment, asphalt pavement will have
a variety of complex damage and destruction, affecting its service function and life. The …