Abstract
Current trends are showing a technological evolution to an unified Industrial Internet of Things network where smart manufacturing devices are loosely coupled over a cloud to realize comprehensive collaboration and analysis possibilities, and to increase the dynamic and volatile of manufacturing environments. This rising complexity generates also higher ranges of error possibilities and analog a growing demand of new diagnostic approaches to handle also those highly complex systems as manufacturing systems which are following the Industry 4.0 vision. This is an ISA’95 compliant approach of a Big Data analytics methodology for analysis and observation in Industry 4.0 vision following manufacturing systems.
Original language | English |
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Title of host publication | IFIP Advances in Information and Communication Technology |
Editors | M. Luis Camarinha-Matos, António J. Falcão, Nazanin Vafaei, Shirin Najdi |
Place of Publication | Cham |
Publisher | SPRINGER INTERNATIONAL PUBLISHING AG |
Pages | 116-123 |
Number of pages | 8 |
Volume | 470 |
ISBN (Print) | 978-3-319-31165-4 |
DOIs | |
Publication status | Published - 2016 |
Event | 7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016 - Costa de Caparica, Portugal Duration: 11 Apr 2016 → 13 Apr 2016 |
Conference
Conference | 7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016 |
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Country | Portugal |
City | Costa de Caparica |
Period | 11/04/16 → 13/04/16 |
Keywords
- Big data
- Context sensitivity
- Cyber-physical systems
- Data mining
- Diagnostics
- Engineering
- ISA-95