Visual Fingerprints of Vibration Signals Using Time Delay Embeddings
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Most 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.
Description
CCS Concepts: Human-centered computing → Visualization techniques
@inproceedings{10.2312:evs.20251094,
booktitle = {EuroVis 2025 - Short Papers},
editor = {El-Assady, Mennatallah and Ottley, Alvitta and Tominski, Christian},
title = {{Visual Fingerprints of Vibration Signals Using Time Delay Embeddings}},
author = {Rakuschek, Julian and Boesze, Adrian and Schmidt, Johanna and Schreck, Tobias},
year = {2025},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-282-0},
DOI = {10.2312/evs.20251094}
}