A Novel Unsupervised Machine Learning-Based Method for Chatter Detection in the Milling of Thin-Walled Parts [PDF]
Data-driven chatter detection techniques avoid complex physical modeling and provide the basis for industrial applications of cutting process monitoring.
Runqiong Wang +5 more
doaj +2 more sources
Extraction and Assessment of Features Using Shannon Entropy and Rényi Entropy for Chatter Detection in Micro Milling [PDF]
Chatter is a common phenomenon in micromachining processes that adversely affects machining quality, reduces tool life, and generates excessive noise that contributes to environmental pollution.
Zehui Zheng +5 more
doaj +2 more sources
Chatter in manufacturing system: Prediction and detection [PDF]
Chatter is a phenomenon that periodically occurs in machining systems. Its occurrence in machining processes excites the tool and other elements of the machining system, creating "chatter marks" on the workpiece surface, which affects the quality of the ...
Vorkapić Nikola M. +2 more
doaj +3 more sources
Multi-modal denoised data-driven milling chatter detection using an optimized hybrid neural network architecture [PDF]
Chatter, a type of self-excited vibration, deteriorates surface quality and reduces tool life and machining efficiency. Chatter detection serves as an effective approach to achieve stable cutting.
Haining Gao +9 more
doaj +2 more sources
Transfer learning for autonomous chatter detection in machining
Large-amplitude chatter vibrations are one of the most important phenomena in machining processes. It is often detrimental in cutting operations causing a poor surface finish and decreased tool life. Therefore, chatter detection using machine learning has been an active research area over the last decade.
Firas Khasawneh +2 more
exaly +3 more sources
Automatic chatter detection in grinding [PDF]
Two methods for automatic chatter detection in outer diameter plunge feed grinding are proposed. The methods employ entropy and coarse-grained information rate (CIR) as indicators of chatter. Entropy is calculated from a power spectrum, while CIR is calculated directly from fluctuations of a recorded signal.
Igor Grabec +2 more
exaly +2 more sources
In-Process Chatter Detection in Surface Grinding [PDF]
The chatter causes the poor surface finish during the surface grinding. It is therefore necessary to monitor the chatter during the process. Hence, this research has proposed the in-process chatter detection in the surface grinding process by utilizing ...
Tangjitsitcharoen Somkiat +1 more
doaj +2 more sources
Multi-Sensory Tool Holder for Process Force Monitoring and Chatter Detection in Milling [PDF]
Sensor-based monitoring of process and tool condition in milling is a key technology for improving productivity and workpiece quality, as well as enabling automation of machine tools.
Alexander Schuster +3 more
doaj +2 more sources
The Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly Detection [PDF]
BackgroundSocial media has served as a lucrative platform for spreading misinformation and for promoting fraudulent products for the treatment, testing, and prevention of COVID-19. This has resulted in the issuance of many warning
Abeed Sarker +5 more
doaj +2 more sources
Prediction, detection, and suppression of regenerative chatter in milling
In metal cutting processing, especially in the processing of low-rigidity workpieces, chatter is a key factor affecting many aspects such as surface quality, processing efficiency and tool life.
Bo Liu +4 more
doaj +2 more sources

