arXiv Open Access 2020

Dataset for anomalies detection in 3D printing

Joanna Sendorek Tomasz Szydlo Mateusz Windak Robert Brzoza-Woch

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Abstrak

Nowadays, Internet of Things plays a significant role in many domains. Especially, Industry 4.0 is making a great usage of concepts like smart sensors and big data analysis. IoT devices are commonly used to monitor industry machines and detect anomalies in their work. In this paper we present and describe a set of data streams coming from working 3D printer. Among others, it contains accelerometer data of printer head, intrusion power and temperatures of the printer elements. In order to gain data we lead to several printing malfunctions applied to the 3D model. Resulting dataset can therefore be used for anomalies detection research.

Topik & Kata Kunci

cs.OH

Penulis (4)

Joanna Sendorek

Tomasz Szydlo

Mateusz Windak

Robert Brzoza-Woch

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APA MLA BibTeX

Sendorek, J., Szydlo, T., Windak, M., Brzoza-Woch, R. (2020). Dataset for anomalies detection in 3D printing. https://arxiv.org/abs/2004.08817

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓