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Unsupervised Machine Learning for Advanced Tolerance Monitoring of Wire Electrical Discharge Machining of Disc Turbine Fir-Tree Slots
(MDPI, 2018-10-08)
Manufacturing more efficient low pressure turbines has become a topic of primary importance for aerospace companies. Specifically, wire electrical discharge machining of disc turbine fir-tree slots has attracted increasing ...
Actor-critic continuous state reinforcement learning for wind-turbine control robust optimization
(Elsevier, 2022-04)
[EN] The control of Variable-Speed Wind-Turbines (VSWT) extracting electrical power from the wind kinetic energy are composed of subsystems that need to be controlled jointly, namely the blade pitch and the generator torque ...
Assessing Industrial Communication Protocols to Bridge the Gap between Machine Tools and Software Monitoring
(MDPI, 2023-06-18)
Industrial communication protocols are protocols used to interconnect systems, interfaces, and machines in industrial environments. With the advent of hyper-connected factories, the role of these protocols is gaining ...
Early detection of tool wear in electromechanical broaching machines by monitoring main stroke servomotors
(Elsevier, 2023-12)
This paper aims to provide researchers and engineers with evidence that sensorless machine variable monitoring can achieve tool wear monitoring in broaching in real production environments, reducing production errors, ...