Semantic web and knowledge graphs for industry 4.0
In recent years, due to technological advancements, the concept of Industry 4.0 (I4. 0) is
gaining popularity, while presenting several technical challenges being tackled by both the …
gaining popularity, while presenting several technical challenges being tackled by both the …
Systematic literature review predictive maintenance solutions for SMEs from the last decade
S Hassankhani Dolatabadi, I Budinska - Machines, 2021 - mdpi.com
Today, small-and medium-sized enterprises (SMEs) play an important role in the economy
of societies. Although environmental factors, such as COVID-19, as well as non …
of societies. Although environmental factors, such as COVID-19, as well as non …
OntoProg: An ontology-based model for implementing Prognostics Health Management in mechanical machines
Abstract Trends in Prognostics Health Management (PHM) have been introduced into
mechanical items of manufacturing systems to predict Remaining Useful Life (RUL). PHM as …
mechanical items of manufacturing systems to predict Remaining Useful Life (RUL). PHM as …
Smart and sustainable emaintenance: Capabilities for digitalization of maintenance
N Johansson, E Roth, W Reim - Sustainability, 2019 - mdpi.com
In the era of Industry 4.0, researchers have begun to more thoroughly examine digital
maintenance, ie, eMaintenance, as digitization is increasingly affecting today's society. This …
maintenance, ie, eMaintenance, as digitization is increasingly affecting today's society. This …
Industry 4.0-potentials for predictive maintenance
Z Li, K Wang, Y He - 6th international workshop of advanced …, 2016 - atlantis-press.com
Industry 4.0 represents the coming fourth industrial revolution on the way to combine
modern industries with Cyber-Physical Systems, Internet of Things and Internet of Services …
modern industries with Cyber-Physical Systems, Internet of Things and Internet of Services …
An ontology-based model for prognostics and health management of machines
Recent advances in smart manufacturing open up opportunities in industrial support,
specifically in maintenance and physical asset management. This trend allows data …
specifically in maintenance and physical asset management. This trend allows data …
Data quality problems in discrete event simulation of manufacturing operations
High-quality input data are a necessity for successful discrete event simulation (DES)
applications, and there are available methodologies for data collection in DES projects …
applications, and there are available methodologies for data collection in DES projects …
Ontology-augmented Prognostics and Health Management for shopfloor-synchronised joint maintenance and production management decisions
In smart factories, guaranteeing shopfloor-synchronised and real-time decision-making is
essential to be responsive to the ever-changing internal environment, namely the shopfloor …
essential to be responsive to the ever-changing internal environment, namely the shopfloor …
Advantages and potential challenges of data management in e-maintenance
Purpose The purpose of this paper is twofold: first, to understand data management
challenges in e-maintenance systems from a holistically viewpoint through summarizing the …
challenges in e-maintenance systems from a holistically viewpoint through summarizing the …
Towards a platform to implement an intelligent and predictive maintenance in the context of industry 4.0
EM Bourezza, A Mousrij - Artificial Intelligence and Industrial Applications …, 2021 - Springer
In the world of the 4th industrial revolution and in order to master the production tools, the
company must have a relevant maintenance management system. Therefore, it is necessary …
company must have a relevant maintenance management system. Therefore, it is necessary …