An Approach for Implementing ISA 95-Compliant Big Data Observation, Analysis and Diagnosis Features in Industry 4.0 Vision Following Manufacturing Systems

Kevin Nagorny, Sebastian Scholze, José Barata, Armando Walter Colombo

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

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 languageEnglish
Title of host publicationIFIP Advances in Information and Communication Technology
EditorsM. Luis Camarinha-Matos, António J. Falcão, Nazanin Vafaei, Shirin Najdi
Place of PublicationCham
PublisherSPRINGER INTERNATIONAL PUBLISHING AG
Pages116-123
Number of pages8
Volume470
ISBN (Print)978-3-319-31165-4
DOIs
Publication statusPublished - 2016
Event7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016 - Costa de Caparica, Portugal
Duration: 11 Apr 201613 Apr 2016

Conference

Conference7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016
CountryPortugal
CityCosta de Caparica
Period11/04/1613/04/16

Keywords

  • Big data
  • Context sensitivity
  • Cyber-physical systems
  • Data mining
  • Diagnostics
  • Engineering
  • ISA-95

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