Guided Exploration of Industrial Sensor Data

• Published in: Computer graphics forum Vol. 43; no. 1
• Main Authors: Langer, Tristan, Meyes, Richard, Meisen, Tobias
• Format: Journal Article
• Language: English
• Published: Oxford Blackwell Publishing Ltd 01.02.2024
• Subjects: analytic provenance; Anomalies; Data analysis; Digital data; Digitization; exploratory data analysis; Feasibility studies; guidance; Knowledge management; Machine learning; Scientists; sensor data; Software; Subject specialists; time series; visual analytics

In recent years, digitization in the industrial sector has increased steadily. Digital data not only allows us to monitor the underlying production process using machine learning methods (anomaly detection, behaviour analysis) but also to understand the underlying production process. Insights from E...