Bilatu
6-tik 1-6 emaitza erakusten
Improving Waiting Time and Energy Consumption Performance of a Bi- objective Genetic Algorithm embedded in an Elevator Group Control System through passenger flow estimation
(Springer, 2022)
Passenger waiting time is a significant issue related to the quality of service of a multiple lift system; however, energy consumption reduction is also an important concern in the lift industry. In this paper, we evaluate ...
Surface roughness assessment on hole drilled through the identification and clustering of relevant external and internal signal statistical features
(Elsevier, 2022)
Drilling is a continuous cutting process where two or more cutting edges remove the material, to obtain the desired feature. During the chip evacuation, it generally rubs against the generated surface. Thus, the roughness ...
Sensor signal selection for tool wear curve estimation and subsequent tool breakage prediction in a drilling operation
(Taylor & Francis, 2021)
Tool condition monitoring have an important role in machining processes to reduce defective component and ensure quality requirements. Stopping the process before the tool breaks or an excessive tool wear is reached can ...
Optimización de parámetros de CNC de acuerdo a criterios de productividad usando un modelo de máquina basado en redes neuronalesOptimization of CNC parameters according to productivity criteria using a machine model based on neural networks
(Dyna Publishing, 2020)
Every machine-tool user wants to maximize the productivity of their machines looking for balance between speed, precision and lifetime of mechanical components. Nevertheless, because CNCs have wide-ranging use, their correct ...
Estimación cualitativa de la rugosidad mediante algoritmos de aprendizaje automático en una operación de taladradoQualitative estimation of the roughness using automatic learning algorithms in a drilling operation
(Federación de Asociaciones de Ingenieros Industriales de España, 2020)