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 language | English |
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Title of host publication | Enhancing Future Skills and Entrepreneurship |
Subtitle of host publication | 3rd Indo-German Conference on Sustainability in Engineering |
Editors | Kuldip Singh Sangwan, Christoph Herrmann |
Publisher | Springer |
Pages | 109-116 |
Number of pages | 8 |
ISBN (Electronic) | 978-3-030-44248-4 |
ISBN (Print) | 978-3-030-44247-7 |
DOIs | |
Publication status | Published - 1 Jan 2020 |
Externally published | Yes |
Event | 3rd Indo-German Conference on Sustainability in Engineering 2019 - Birla Insitute of Technology and Science, Pilani, India Duration: 16 Sep 2019 → 17 Sep 2019 Conference number: 3 |
Publication series
Name | Sustainable Production, Life Cycle Engineering and Management |
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Publisher | Springer |
ISSN (Print) | 2194-0541 |
ISSN (Electronic) | 2194-055X |
Conference
Conference | 3rd Indo-German Conference on Sustainability in Engineering 2019 |
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Country/Territory | India |
City | Pilani |
Period | 16/09/19 → 17/09/19 |
Keywords
- Cyber physical production system
- Data mining
- Process and quality monitoring