Visual Fingerprints of Vibration Signals Using Time Delay Embeddings

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dc.contributor.authorRakuschek, Julianen_US
dc.contributor.authorBoesze, Adrianen_US
dc.contributor.authorSchmidt, Johannaen_US
dc.contributor.authorSchreck, Tobiasen_US
dc.contributor.editorEl-Assady, Mennatallahen_US
dc.contributor.editorOttley, Alvittaen_US
dc.contributor.editorTominski, Christianen_US
dc.date.accessioned2025-05-26T06:59:16Z
dc.date.available2025-05-26T06:59:16Z
dc.date.issued2025
dc.description.abstractMost machines generate vibrations during operation, but effectively visualizing these vibrations is often a challenge, due to large and high-resolution data. Line charts suffer from overplotting, while frequency-domain analysis requires specialized knowledge in signal processing. We introduce a method that bridges the gap between time-domain and frequency-domain analysis: a visual fingerprint computed through the time delay embedding of the vibration data. This fingerprint helps identify segments exhibiting periodic behavior and can be used to cluster similar segments within a vibration signal. Additionally, we demonstrate its practical application in predictive maintenance, showcasing its potential for real-world industrial use.en_US
dc.description.sectionheadersTechniques and Tools
dc.description.seriesinformationEuroVis 2025 - Short Papers
dc.identifier.doi10.2312/evs.20251094
dc.identifier.isbn978-3-03868-282-0
dc.identifier.pages5 pages
dc.identifier.urihttps://doi.org/10.2312/evs.20251094
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/evs20251094
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Visualization techniques
dc.subjectHuman centered computing → Visualization techniques
dc.titleVisual Fingerprints of Vibration Signals Using Time Delay Embeddingsen_US
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