Toward digital twins for high-performance manufacturing: Tool wear monitoring in high-speed milling of thin-walled parts using domain knowledge

R Wang, Q Song, Y Peng, J Qin, Z Liu, Z Liu - Robotics and Computer …, 2024 - Elsevier
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 …

Sensor data modeling and model frequency analysis for detecting cutting tool anomalies in machining

Z Liu, ZQ Lang, YP Zhu, Y Gui, H Laalej… - … on Systems, Man …, 2022 - ieeexplore.ieee.org
Tool condition monitoring (TCM) in advanced manufacturing is concerned with cutting tool
operational status monitoring and damage diagnosis. In the present study, an innovative …

Pyramid LSTM network for tool condition monitoring

H Guo, X Lin, K Zhu - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
Tool condition monitoring is important to guarantee the product quality and improve the
productivity in high-performance computer numerical control (CNC) machining. Due to the …

Cutting force embedded manifold learning for condition monitoring of vertical machining center

J Wang, X Cheng, Y Gao, X Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Cutting condition monitoring is essential for managing the operation of machine tools in
manufacturing. The t-distributed stochastic neighbor embedding (t-SNE) method has been …

Optimal design of loading device based on a redundantly actuated parallel manipulator

B Zhu, L Wang, J Wu - Mechanism and Machine Theory, 2022 - Elsevier
Reliability of machine tools has attracted much attention both in academia and industry. The
loading device is very important for the reliability study of CNC machine tools as it can apply …

Electrical characterization under harsh environment of DC–DC converters used in diagnostic systems

G Patrizi, M Catelani, L Ciani, A Bartolini… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In several applications (eg, industrial plants, energy production systems, pipelines, offshore
plants, wind turbines, etc), the DC–DC converter must endure harsh environmental and …

[HTML][HTML] Digital twin-based anomaly detection for real-time tool condition monitoring in machining

Z Liu, ZQ Lang, Y Gui, YP Zhu, H Laalej - Journal of Manufacturing Systems, 2024 - Elsevier
Real-time tool condition monitoring (TCM) has been emerging as a key technology for smart
manufacturing. TCM can improve the dimensional accuracy of products, minimize machine …

Nonintrusive measurements for detecting progressive equipment faults

DH Green, DW Quinn, S Madden… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The gradual environmental degradation of materials can lead to corrosion and mechanical
failures of electrical loads. Vibration and corrosion both contribute to the failure of electrical …

Vibration Signal-based Tool Condition Monitoring Using Regularized Sensor Data Modelling and Model Frequency Analysis

Z Liu, ZQ Lang, Y Gui, YP Zhu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Tool condition monitoring (TCM) plays a vital role in maintaining product quality and
improving productivity in advanced manufacturing. However, complex machining …

Securable networks for nonintrusive sensor fusion

AW Langham, A Moeller, DW Quinn… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Fault detection and diagnostics (FDD) and energy scorekeeping for power systems can be
performed nonintrusively with current and voltage sensing at a utility panel. The key problem …