Investigating Explainable AI-enhanced Anomaly Detection Methods for Emergency Shutdown Mitigation in High-Temperature Heat Pump

Lambert, Baptiste and Singh, Deeksha (2025) Investigating Explainable AI-enhanced Anomaly Detection Methods for Emergency Shutdown Mitigation in High-Temperature Heat Pump. The 9th International Conference on System Reliability and Safety (ICSRS), 2025-11-26 - 2025-11-28, Turin, Italy.

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Item URL in elib:

https://elib.dlr.de/220050/

Document Type:

Conference or Workshop Item (Speech)

Title:

Investigating Explainable AI-enhanced Anomaly Detection Methods for Emergency Shutdown Mitigation in High-Temperature Heat Pump

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Lambert, Baptiste	Baptiste.Lambert (at) dlr.de	https://orcid.org/0000-0001-7568-6332	UNSPECIFIED
Singh, Deeksha	deeksha.singh (at) dlr.de	UNSPECIFIED	UNSPECIFIED

Date:

27 November 2025

Refereed publication:

Yes

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Anomaly Detection, xAI

Event Title:

The 9th International Conference on System Reliability and Safety (ICSRS)

Event Location:

Turin, Italy

Event Type:

international Conference

Event Start Date:

26 November 2025

Event End Date:

28 November 2025

Organizer:

IEEE

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Space Transportation

DLR - Research area:

Raumfahrt

DLR - Program:

R RP - Space Transportation

DLR - Research theme (Project):

R - SAFER | Sustainable Aviation Fuels in Eco-friendly Rockets

Location:

Jena , Zittau

Institutes and Institutions:

Institute of Data Science > Data Analysis and Intelligence
Institute of Low-Carbon Industrial Processes > High-Temperature Heat Pumps

Deposited By:

Lambert, Baptiste

Deposited On:

03 Dec 2025 11:07

Last Modified:

13 Jan 2026 16:26

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