[HTML][HTML] Tool condition monitoring for high-performance machining systems—A review
In the era of the “Industry 4.0” revolution, self-adjusting and unmanned machining systems
have gained considerable interest in high-value manufacturing industries to cope with the …
have gained considerable interest in high-value manufacturing industries to cope with the …
Process monitoring of machining
This keynote paper mainly focuses on advancements of machining technology and systems
for enhanced performance, increased system integration and augmented machine …
for enhanced performance, increased system integration and augmented machine …
A systematic review of artificial intelligence in the detection of cutting tool breakage in machining operations
W Xiao, J Huang, B Wang, H Ji - Measurement, 2022 - Elsevier
Automatic detection of the cutting tool breakage plays a vital role in the automation of
machining operations. However, up to now, few artificial intelligence (AI) models in the …
machining operations. However, up to now, few artificial intelligence (AI) models in the …
MS-SSPCANet: A powerful deep learning framework for tool wear prediction
J Duan, C Hu, X Zhan, H Zhou, G Liao, T Shi - Robotics and Computer …, 2022 - Elsevier
Reliable tool condition monitoring (TCM) system becomes increasingly critical to machinery
efficiency, workpiece quality, and production cost in modern manufacturing industry …
efficiency, workpiece quality, and production cost in modern manufacturing industry …
A tool wear condition monitoring method for non-specific sensing signals
Real-time and accurate monitoring of tool wear conditions is crucial to achieving double
optimization of production cost and product quality. However, the differences in the …
optimization of production cost and product quality. However, the differences in the …
Self-adaptive fusion of local-temporal features for tool condition monitoring: A human experience free model
Cutting tool condition monitoring (TCM) techniques optimize production cost and machining
quality, which is recognized as an important enabling technology for smart manufacturing …
quality, which is recognized as an important enabling technology for smart manufacturing …
Toward digital twins for high-performance manufacturing: Tool wear monitoring in high-speed milling of thin-walled parts using domain knowledge
The condition of cutting tool in the high-performance machining of aerospace Ti6Al4V thin-
walled parts is a key factor in determining service performance and productivity. However …
walled parts is a key factor in determining service performance and productivity. However …
Selection methodology of representative meteorological days for assessment of renewable energy systems
The quality of decisions in the renewable energy sector is as good as the quality of available
data. This makes data quality a cornerstone in renewable energy system planning …
data. This makes data quality a cornerstone in renewable energy system planning …
[HTML][HTML] Tool and workpiece condition classification using empirical mode decomposition (EMD) with Hilbert–Huang transform (HHT) of vibration signals and machine …
IO Olalere, OA Olanrewaju - Applied Sciences, 2023 - mdpi.com
Existing studies have attempted to determine the tool chipping condition using the indirect
method of data capture and intelligent analysis techniques considering machine …
method of data capture and intelligent analysis techniques considering machine …
Comprehensive approach toward IIoT based condition monitoring of machining processes
RA Laghari, S Mekid - Measurement, 2023 - Elsevier
This comprehensive review aims to achieve and develop an automated platform to acquire
and process data for error compensation in CNC manufacturing. The Industrial Internet of …
and process data for error compensation in CNC manufacturing. The Industrial Internet of …