Zerrendatu honen arabera: egilea "f112a40e1acaa70a7eef5b2b480e247d"
-
ADAPT: an Automatic Diagnosis of Activity and Processes in auTomation environments
Azkarate, Igor; Aguirre, Aitor; Uranga Andrés, Josu; Eciolaza, Luka (IEEE, 2020)In an automated industrial environment, a large volume of data and signals is available, both from sensors and actuators in machinery and from the interaction with operators and users. Operation diagnosis can have multiple ... -
Anomaly Detection and Automatic Labeling for Solar Cell Quality Inspection Based on Generative Adversarial Network
Balzategui, Julen; Eciolaza, Luka; Maestro-Watson, Daniel (MDPI, 2021)Quality inspection applications in industry are required to move towards a zero-defect manufacturing scenario, with non-destructive inspection and traceability of 100% of produced parts. Developing robust fault detection ... -
Contributions to induction thermography inspection and automated view planning
Urtasun Marco, Beñat (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2024)The non-destructive inspection industry faces challenges in automating processes quickly to meet growing demands. Techniques like active thermography and 3D measurments encounter difficulties in contexts requiring reduced ... -
Petri net implementation in programmable logic controllers: methodology for development and validation
Azkarate, Igor; Mugarza Cortabarria, Juan Carlos; Eciolaza, Luka (IEEE, 2021)Lead times are key to good market positioning of providers of automated solutions based on a programmable logic controller (PLC). Testing control software against a digital twin (DT) of the process, any programming errors ... -
Petri net-based semi-compiled code generation for programmable logic controllers
Azkarate, Igor; Mugarza Cortabarria, Juan Carlos; Eciolaza, Luka (MDPI, 2021)Industrial discrete event dynamic systems (DEDSs) are commonly modeled by means of Petri nets (PNs). PNs have the capability to model behaviors such as concurrency, synchronization, and resource sharing, compared to a step ... -
Towards manufacturing robotics accuracy degradation assessment: A vision-based data-driven implementation
Izagirre, Unai; andonegui, imanol; Eciolaza, Luka; Zurutuza, Urko (Elsevier, 2021)In this manuscript we report on a vision-based data-driven methodology for industrial robot health assessment. We provide an experimental evidence of the usefulness of our methodology on a system comprised of a 6-axis ... -
Virtual commissioning of a robotic cell: an educational case study
Azkarate, Igor; Eciolaza, Luka (IEEE, 2019)The emergence of software tools for testing control programs and virtual commissioning (VC) in industrial automation projects makes it possible to shorten lead times and improve product quality, but it also brings to light ...
