[HTML][HTML] Big Data architecture for intelligent maintenance: a focus on query processing and machine learning algorithms
C Lehmann, L Goren Huber, T Horisberger… - Journal of Big Data, 2020 - Springer
Exploiting available condition monitoring data of industrial machines for intelligent
maintenance purposes has been attracting attention in various application fields. Machine …
maintenance purposes has been attracting attention in various application fields. Machine …
[HTML][HTML] Big data analytics for fault detection and its application in maintenance
L Zhang - 2016 - diva-portal.org
Big Data Analytics for Fault Detection and its Application in Maintenance diva-portal.org
Digitala Vetenskapliga Arkivet Simple search Advanced search - Research publications …
Digitala Vetenskapliga Arkivet Simple search Advanced search - Research publications …
Big Data in maintenance decision support systems: aggregation of disparate data types
There is need to obtain reliable information on current and future asset health status to
support maintenance decision making process. Within maintenance two main sources of …
support maintenance decision making process. Within maintenance two main sources of …
[PDF][PDF] Building predictive maintenance framework for smart environment application systems
A Katona, P Panfilov, B Katalinic - Proceedings of the 29th DAAAM …, 2018 - academia.edu
Predictive maintenance is a powerful maintenance strategy that makes it possible to
significantly reduce operation and maintenance costs of public, commercial and industrial …
significantly reduce operation and maintenance costs of public, commercial and industrial …
[PDF][PDF] The need for Big Data collection and analyses to support the development of an advanced maintenance strategy
D Baglee, S Marttonen, D Galar - … of the World Congress in Computer …, 2015 - academia.edu
Data mining applications are becoming increasingly important for the wide range of
manufacturing processes. During daily manufacturing operations large amounts of data is …
manufacturing processes. During daily manufacturing operations large amounts of data is …
Fault classification driven by maintenance management for smart maintenance applications
R Bodo, M Bertocco, A Bianchi - … on Metrology for Industry 4.0 & …, 2020 - ieeexplore.ieee.org
The study focuses on health monitoring applications that enables companies to offer smart
maintenance services in the general context of industry 4.0. To this aim, a common practice …
maintenance services in the general context of industry 4.0. To this aim, a common practice …
[HTML][HTML] Providing fault detection from sensor data in complex machines that build the smart city
Household appliances, climate control machines, vehicles, elevators, cash counting
machines, etc., are complex machines with key contributions to the smart city. Those devices …
machines, etc., are complex machines with key contributions to the smart city. Those devices …
[HTML][HTML] An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities
The term smart manufacturing refers to a future-state of manufacturing, where the real-time
transmission and analysis of data from across the factory creates manufacturing intelligence …
transmission and analysis of data from across the factory creates manufacturing intelligence …
A survey on predictive maintenance through big data
A Patwardhan, AK Verma, U Kumar - Current Trends in Reliability …, 2016 - Springer
Modern manufacturing systems use thousands of sensors retrieving information at hundreds
to thousands of samples per second. The real time data being generated is mostly used for …
to thousands of samples per second. The real time data being generated is mostly used for …
[HTML][HTML] Implementation and transfer of predictive analytics for smart maintenance: A case study
S von Enzberg, A Naskos, I Metaxa… - Frontiers in Computer …, 2020 - frontiersin.org
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 …
process, leading to a reduction of machine downtime and thus an overall productivity …