Now showing items 1-5 of 5
Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data
Predictive maintenance (PdM) has the potential to reduce industrial costs by anticipating failures and extending the work life of components. Nowadays, factories are monitoring their assets and most collected data belong ...
Three stage maturity model in SME's towards Industry 4.0
(Universitat Politecnica de Catalunya, 2016)
Purpose: To address the challenges regarding the concept of Industry 4.0 and the diversification methodology and based on the strategic guidance towards Industry 4.0, we propose a process model as a guiding framework for ...
Analysis of technological architectures for the new paradigm of the industry 4.0Análisis de arquitecturas tecnológicas para el nuevo paradigma de la industria 4.0
(DYNA Publishing, 2019)
The present work defines an interoperable and scalable architecture that will allow the servitization of the machine tool sector. ICT and the Internet of Things make possible to interconnect different devices and controllers, ...
Human‑centred design in industry 4.0: case study review and opportunities for future research
The transition to industry 4.0 has impacted factories, but it also afects the entire value chain. In this sense, human-centred factors play a core role in transitioning to sustainable manufacturing processes and consumption. ...
Industrial Design of Electric Machines Supported with Knowledge-Based Engineering Systems
The demand for electric machines has increased in the last decade, mainly due to applications that try to make a full transition from fuel to electricity. These applications encounter the need for tailor-made electric ...