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Anomaly Detection for Multivariate Time Series Data in Sintering Processes

Year: 2024

Type: conference-paper

DOI: 10.1109/ieem62345.2024.10857234

Authors: O. Özgün, N. Niedernostheide, R. Korkmaz, B. Kuhlenkötter, M. Struve

Institution: Ruhr University Bochum

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Responsible consumption and production, Industry, innovation and infrastructure, Climate action

Open Access status: closed

Funder: Ministry of Economic Affairs

OpenAlex ID: W4407129254

FWCI:

Cites: 21

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Related to: 10