تقرير
Dataset for anomalies detection in 3D printing
العنوان: | Dataset for anomalies detection in 3D printing |
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المؤلفون: | Sendorek, Joanna, Szydlo, Tomasz, Windak, Mateusz, Brzoza-Woch, Robert |
سنة النشر: | 2020 |
المجموعة: | Computer Science |
مصطلحات موضوعية: | Computer Science - Other Computer Science |
الوصف: | 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. |
نوع الوثيقة: | Working Paper |
URL الوصول: | http://arxiv.org/abs/2004.08817 |
رقم الأكسشن: | edsarx.2004.08817 |
قاعدة البيانات: | arXiv |
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