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Leveraging Causal Information for Multivariate Timeseries Anomaly Detection

Heppel, Lukas and Gerhardus, Andreas and Rewicki, Ferdinand and Deeken, Jan C. and Waxenegger-Wilfing, Günther (2024) Leveraging Causal Information for Multivariate Timeseries Anomaly Detection. In: 35th International Conference on Principles of Diagnosis and Resilient Systems (DX 2024). 35th International Conference on Principles of Diagnosis and Resilient Systems (DX 2024), 2024-11-04 - 2024-11-07, Wien, Österreich.

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Official URL: https://conf.researchr.org/home/dx-2024


Item URL in elib:https://elib.dlr.de/221026/
Document Type:Conference or Workshop Item (Speech)
Title:Leveraging Causal Information for Multivariate Timeseries Anomaly Detection
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Heppel, Lukaslukas.heppel (at) dlr.dehttps://orcid.org/0009-0005-3851-2102201637395
Gerhardus, AndreasAndreas.Gerhardus (at) dlr.deUNSPECIFIEDUNSPECIFIED
Rewicki, Ferdinandferdinand.rewicki (at) dlr.dehttps://orcid.org/0000-0003-2264-9495201637396
Deeken, Jan C.Jan.Deeken (at) dlr.dehttps://orcid.org/0000-0002-5714-8845UNSPECIFIED
Waxenegger-Wilfing, GüntherGuenther.Waxenegger (at) dlr.dehttps://orcid.org/0000-0001-5381-6431UNSPECIFIED
Date:2024
Journal or Publication Title:35th International Conference on Principles of Diagnosis and Resilient Systems (DX 2024)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Anomaly Detection, Causal Discovery, Multivariate Timeseries
Event Title:35th International Conference on Principles of Diagnosis and Resilient Systems (DX 2024)
Event Location:Wien, Österreich
Event Type:international Conference
Event Start Date:4 November 2024
Event End Date:7 November 2024
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:Digitalisation
DLR - Program:D KIZ - Artificial Intelligence
DLR - Research theme (Project):D - CausalAnomalies, R - Reusable Space Systems and Propulsion Technology
Location: Lampoldshausen
Institutes and Institutions:Institute of Data Science > Data Analysis and Intelligence
Institute of Space Propulsion > Rocket Engine Systems
Deposited By: Waxenegger-Wilfing, Günther
Deposited On:07 Jan 2026 06:46
Last Modified:07 Jan 2026 06:47

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