Zerrendatu honen arabera: egilea "f112a40e1acaa70a7eef5b2b480e247d"
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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 ... -
Aplicación de tecnologías de digitalización a sistemas industriales automatizados basados en controladores lógicos programables
Azkarate, Igor (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2022)In an industrial environment in which delivery times of automated solutions are a differential in the market, one of the main concerns of the technical staff of development companies is to speed up the development, testing ... -
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 ... -
Deep Learning Based Methodology For The Development Of Industrial Quality Inspection Systems
Balzategui, Julen (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2022)In recent years, the manufacturing industry has gone through what has been called the fourth industrial revolution or Industry 4.0. Apart from still automating industrial processes, the revolution has as well brought new ... -
Deflectometric data segmentation for surface inspection: a fully convolutional neural network approach
Maestro-Watson, Daniel; Balzategui, Julen; Eciolaza, Luka; Arana-Arexolaleiba, Nestor (SPIE, 2020)The purpose of this paper is to explore the use of fully convolutional neural networks (FCN) to perform a semantic segmentation of deflectometric recordings for quality control of reflective surfaces. The proposed method ... -
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 data-driven predictive maintenance for industrial robots
Izagirre, Unai; Izagirre, Unai (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2021)The automation of industry in general and the use of industrial robots in assembly lines in particular has considerably increased in the last two decades. Although industrial robots have received significant attention from ... -
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 ...
