Athanasios Naskos
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View article: Leveraging Feedback and Causality-Enriched Multimodal Context for Predictive Maintenance
Leveraging Feedback and Causality-Enriched Multimodal Context for Predictive Maintenance Open
We propose an anomaly detector-agnostic framework to exploit heterogeneous and multidimensional streams in industrial predictive maintenance, with the main objective of detecting early data anomalies preceding asset failures. Our novelty l…
View article: Engineering and evaluating an unsupervised predictive maintenance solution: a cold-forming press case-study
Engineering and evaluating an unsupervised predictive maintenance solution: a cold-forming press case-study Open
In real-world industries, production line assets may be affected by several factors, both known and unknown, which dynamically and unpredictably evolve so that past data are of little value for present ones. In addition, data is collected …
View article: Analysis of key flavors of event-driven predictive maintenance using logs of phenomena described by Weibull distributions
Analysis of key flavors of event-driven predictive maintenance using logs of phenomena described by Weibull distributions Open
This work explores two approaches to event-driven predictive maintenance in Industry 4.0 that cast the problem at hand as a classification or a regression one, respectively, using as a starting point two state-of-the-art solutions. For eac…
View article: A micro-service-based machinery monitoring solution towards realizing the Industry 4.0 vision in a real environment
A micro-service-based machinery monitoring solution towards realizing the Industry 4.0 vision in a real environment Open
This work presents a modular Smart Maintenance Platform (SMP), which offers a toolbox of condition monitoring tools for the day-to-day inspection of the machinery equipment in a real industrial environment. SMP complements the manual inspe…
View article: Implementation and Transfer of Predictive Analytics for Smart Maintenance: A Case Study
Implementation and Transfer of Predictive Analytics for Smart Maintenance: A Case Study Open
Smart maintenance offers a promising potential to increase efficiency of the maintenance process, leading to a reduction of machine downtime and thus an overall productivity increase in industrial manufacturing. By applying fault detection…
View article: A Methodology for Runtime Detection and Extraction of Threat Patterns
A Methodology for Runtime Detection and Extraction of Threat Patterns Open
As the confidentiality and integrity of modern health infrastructures is threatened by intrusions and real-time attacks related to privacy and cyber-security, there is a need for proposing novel methodologies to predict future incidents an…
View article: Security-aware elasticity for NoSQL databases in multi-cloud environments
Security-aware elasticity for NoSQL databases in multi-cloud environments Open
We focus on horizontally scaling NoSQL databases in a cloud environment, in order to meet performance requirements while respecting security constraints. The performance requirements refer to strict latency limits on the query response tim…