In standard pneumatics, the available signals for data analytics are very limited. As a rule, no continuous status information is available. Usually only the reaching of the end position is indicated - by means of a digital signal of a proximity sensor. This paper examines whether these limited data can be used to derive usable and useful information for predictive maintenance. Pneumatic clamps in bodyin- white construction were chosen as application example. The paper describes a continuous run to investigate the basic feasibility of predictibility. In the following chapters, possibilities for error classification are discussed. Finally, the implementation of the findings in a field test is described.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:71204 |
| Date | 25 June 2020 |
| Creators | Gauchel, Wolfgang, Streichert, Thilo, Wilhelm, Yannick |
| Contributors | Dresdner Verein zur Förderung der Fluidtechnik e. V. Dresden |
| Publisher | Technische Universität Dresden |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 10.25368/2020.7, urn:nbn:de:bsz:14-qucosa2-709173, qucosa:70917 |
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