Tool Wear Prediction in Ti-6Al-4V Machining through Multiple Sensor Monitoring and PCA Features Pattern Recognition

Cloud-based manufacturing process monitoring for smart diagnosis services

(2018) Alessandra Caggiano   INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING

Vibration Sensor Monitoring of Nickel-Titanium Alloy Turning for Machinability Evaluation

(2017) Tiziana Segreto et al.   SENSORS

Cloud-enabled prognosis for manufacturing

(2015) R. Gao et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

High performance cutting of advanced aerospace alloys and composite materials

(2015) Rachid M'Saoubi et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Tool wear predictability estimation in milling based on multi-sensorial data

(2015) P. Stavropoulos et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Online tool condition monitoring in turning titanium (grade 5) using acoustic emission: modeling

(2012) Satyanarayana Kosaraju et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Tool condition monitoring based on numerous signal features

(2011) Krzysztof Jemielniak et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Advanced monitoring of machining operations

(2010) R. Teti et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

On modeling of tool wear using sensor fusion and polynomial classifiers

(2009) Ibrahim Deiab et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING