Data analytics of energy and compressed air flows for process and quality monitoring in electro-pneumatic handling systems

Maximilian Rolinck*, Sebastian Gellrich, Christoph Herrmann, Sebastian Thiede

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

2 Citations (Scopus)
17 Downloads (Pure)

Abstract

Ensuring constant high process and product quality is one of the decisive competitive factors in today’s industrial production. Industry 4.0 by means of the analysis of production data is seen as a viable approach to achieve zero defects production. Due to their sensitive behavior, energy data, which is often acquired independently of the machine control, can provide an adequate data source for quality-related analysis tasks. An analysis based on energy data reduces the effort for accessing machine controls and enables scalability. This paper shows the concept and implementation of a data-driven process and quality monitoring tool based on energy data for an electro-pneumatic handling system.

Original languageEnglish
Title of host publicationEnhancing Future Skills and Entrepreneurship
Subtitle of host publication3rd Indo-German Conference on Sustainability in Engineering
EditorsKuldip Singh Sangwan, Christoph Herrmann
PublisherSpringer
Pages109-116
Number of pages8
ISBN (Electronic)978-3-030-44248-4
ISBN (Print)978-3-030-44247-7
DOIs
Publication statusPublished - 1 Jan 2020
Externally publishedYes
Event3rd Indo-German Conference on Sustainability in Engineering 2019 - Birla Insitute of Technology and Science, Pilani, India
Duration: 16 Sep 201917 Sep 2019
Conference number: 3

Publication series

NameSustainable Production, Life Cycle Engineering and Management
PublisherSpringer
ISSN (Print)2194-0541
ISSN (Electronic)2194-055X

Conference

Conference3rd Indo-German Conference on Sustainability in Engineering 2019
Country/TerritoryIndia
CityPilani
Period16/09/1917/09/19

Keywords

  • Cyber physical production system
  • Data mining
  • Process and quality monitoring

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