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7-tik 1-7 emaitza erakusten
ADAPT: an Automatic Diagnosis of Activity and Processes in auTomation environments
(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 ...
Petri net implementation in programmable logic controllers: methodology for development and validation
(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 ...
Virtual commissioning of a robotic cell: an educational case study
(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 ...
Petri net-based semi-compiled code generation for programmable logic controllers
(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 ...
Contributions to induction thermography inspection and automated view planning
(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 ...
Anomaly Detection and Automatic Labeling for Solar Cell Quality Inspection Based on Generative Adversarial Network
(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 ...
Towards manufacturing robotics accuracy degradation assessment: A vision-based data-driven implementation
(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 ...
