Publikationen, an denen er mitarbeitet EVA PORTILLO PEREZ (23)

2018

  1. High-accuracy wire electrical discharge machining using artificial neural networks and optimization techniques

    Robotics and Computer-Integrated Manufacturing, Vol. 49, pp. 24-38

2017

  1. Downsizing training data with weighted FCM for predicting the evolution of specific grinding energy with RNNs

    Applied Soft Computing Journal, Vol. 61, pp. 211-221

  2. Recurrent ANN-based modelling of the dynamic evolution of the surface roughness in grinding

    Neural Computing and Applications, Vol. 28, Núm. 6, pp. 1293-1307

2016

  1. Dry-dressing for ecological grinding

    Journal of Cleaner Production, Vol. 135, pp. 633-643

2015

  1. Modelado de la energía específica de corte en el rectificado mediante redes neuronales recurrentes

    XXXVI Jornadas de Automática: Libro de Actas, 2-4 de Septiembre de 2015, Bilbao

  2. On-line surface roughness prediction in grinding using recurrent neural networks

    Communications in Computer and Information Science

2014

  1. Virtual sensors for on-line wheel wear and part roughness measurement in the grinding process

    Sensors (Switzerland), Vol. 14, Núm. 5, pp. 8756-8778

2012

  1. A case study of a flexible software tool in the drilling process

    IFAC Proceedings Volumes (IFAC-PapersOnline)

  2. A computer assistant for monitoring tool performance during the drilling process

    International Journal of Computer Integrated Manufacturing, Vol. 25, Núm. 9, pp. 829-838

2011

  1. Harizko elektrohigadura-prozesuaren eraginkortasunaren hobekuntza sistema birtualen bidez

    Ekaia: Euskal Herriko Unibertsitateko zientzi eta teknologi aldizkaria, Núm. 24, pp. 277-290

2010

  1. Análisis del proceso de taladrado para el diseño de una estrategia de control en potencia

    XXXI Jornadas de Automática Jaén 8-10 de septiembre de 2010: Comunicaciones

2008

  1. ANN for interpolating instability trends in WEDM

    IFAC Proceedings Volumes (IFAC-PapersOnline)

  2. An industrial application for on-line detection of instability and wire breakage in wire EDM

    Journal of Materials Processing Technology, Vol. 195, Núm. 1-3, pp. 101-109

  3. Artificial neural networks for detecting instability trends in different workpiece thicknesses in a machining process

    Proceedings of the American Control Conference

  4. On-line prevention of wire breakage in wire electro-discharge machining

    Robotics and Computer-Integrated Manufacturing, Vol. 24, Núm. 2, pp. 287-298

  5. Real-time monitoring and diagnosis platform for a machining process

    IFAC Proceedings Volumes (IFAC-PapersOnline)

2007

  1. Anticipation of wire breakage in WEDM based on neural networks

    Proceedings of the 15th International Symposium on Electromachining, ISEM 2007

  2. Design of a virtual-instrumentation system for a machining process

    IEEE Transactions on Instrumentation and Measurement, Vol. 56, Núm. 6, pp. 2616-2622

  3. Sistema de diagnóstico de la rotura del hilo en el proceso de electroerosión: Edmons

    IMHE: Información de máquinas-herramienta, equipos y accesorios, Núm. 337, pp. 59-68

  4. Supervisión de la degradación del proceso de electroerosión por hilo

    2nd Manufacturing Engineering Society International Conference. (MESIC 2007). Madrid. July 2007